Minhaaj's Podcast - TopPodcast.com

Working at DeepMind with Aleksa Gordic Jul 12, 2023

Aleksa Gordic is an ex-software/ML engineer at Microsoft & DeepMind with a broad background across the "whole stack" - maths, electronics, software engineering, algorithms, ML & deep learning (computer vision, natural language processing (NLP), geometric DL, reinforcement learning (RL)...), web, mobile, etc. He is a Top Linkedin Voice in AI for 2023. He has The AI Epiphany YouTube channel, and occasionally shares his projects on GitHub and blogs on Medium.

# Timestamps

00:00 Intro

00:45 Dropping Out, Self Learning & Chris Olah

03:20 From Android Developer to ML Engineer

06:25 LeetCode and CodeForces, Coding vs Soft Skills

17:30 Input and Output Mode of Learning

21:41 Yugoslavian Education, Cevap Cici, Hate for Schooling

25:46 Maths Teaching, Lack of Incentivizatiion and PISA Scores around the World

29:29 Inspirational Teachers

31:50 Microsoft HoloLens Summer Camp & Apple Vision

39:26 Microsoft Research, Google Ai, OpenAI & ResNet

41:50 Culture at Microsoft vs Google, Teams & Research Areas

50:00 Proprietary vs Open Source Models, Falcon 40B, MosaicML

01:01:02 Microsoft’s Gameplan, Profits vs User Acquisition

01:10:27 Alan Turing’s Paper, Definition of ‘Machines’ & ‘Think’

01:14:05 Neuromoprhic Computing, Neuronal Pathways & Future of Hardware

01:16:18 LLM benchmark Saturation & Research Directions

01:20:37 Disinformation, Adobe Firefly and Social Fabric

01:23:33 Lawsuits against Stability AI & OpenAI, Transition from Non-profit to For-Profit

01:28:30 Politicization of AI, Supercomputing & Technological Real Politik

01:31:14 EU AI Regulation, European Innovation Stifling & Repurcussions

01:38:54 US restrictive Visa Regime, H1B Tech Visa problems & Tech Talent Moving out of the US

01:47:00 Life outside Work, Sports & Calisthenics

Julia and Data Science with Bogumil Kaminski Jun 29, 2023

Season 2 episode 2 of The Minhaaj Podcast this week brings on the child prodigy and genius co-creator of dataframes.jl package for Julia, Dr Bogumił Kamiński. Bogumil learned C language without owning a computer from library books at the age of 16 in a small Polish town. In post-communist Poland he went on to study applied problems in management and economics and his interest lies in computational models for real-life problems.
He currently serves as the full professor of economics at the Warsaw School of Economics. He also holds the following positions:
- Head of Decision Analysis and Support Unit
- Chairman of the Scientific Council for the Discipline of Economics and Finance
- Member of the Presidium, Statistics and Econometrics Committee, Polish Academy of Sciences
- Adjunct Professor, Toronto Metropolitan University
- Data Science Laboratory Researcher, Fields Institute, Computational Methods in Industrial Mathematics Laboratory
- Affiliated Faculty, Toronto Metropolitan University, Cybersecurity Research Lab
President, INFORMS Polish Section
- Co-editor, Central European Journal of Economic Modelling and Econometrics
- Editorial board member, Multiple Criteria Decision Making journal
Independent Supervisory Board Member, AutoPartner S.A.
Bogumił Kamiński is an expert in the application of mathematical modeling to solve practical problems in business. In the past, he gathered experience as head of business intelligence and data analytics units in one of the largest Polish consulting and IT solution implementation companies.
His field of expertise is the creation of complex decision-support models that use machine learning, optimization, and simulation methods. He is one of the world-leading experts in the Julia language and has numerous contributions to the core of the language and the package ecosystem. He created the famous dataframes.jl package for data science.
He also created SilverDecisions software, which is freely available online for modeling decision trees. He has written five books one of which I have reviewed earlier, Julia for Data Science.
# Timestamps
00:00 Intro
01:08 Learning Programming, Communist Poland & First Computer
07:07 Polish Education System & STEM teaching
11:35 Julia’s Conceptualization & Expectations
28:05 PetaFLOP club language, Data Type-based Operations & Julia’s Performance
38:11 Project Celeste, 800M astronomical objects detection, HPC in Julia
59:50 Julia in Academia vs Industry - Speed & Ease of Learning
01:21:21 Customer-facing Apps, Streamline vs Genie
01:38:56 Julia and LLMs, Falcon 40B, Training & Inferencing in Julia
01:45:05 Relearning Julia, How to get Started
01:51:09 From in-memory to cluster processing and MIT partnership
01:59:09 Family, Productivity, Community & Work - Juggling different Balls

AI powered self serving BI with Ryan Janssen & Paul Blankely - Zenlytic Jun 20, 2023

Ryan is an entrepreneur, data scientist, engineer, and former VC. He is the co-founder and CEO of Zenlytic, a SaaS business that makes a next-generation AI-powered BI tool that uses LLMs and Semantic layers. He previously co-founded Ex Quanta AI Studio, a full-service data consultancy. Ryan started his career as a software developer in his native Canada, before moving to the UK. He then worked with London’s AGC Equity Partners venture capitalist and private equity investor, investing in technology businesses with check sizes of $1-$50m. He has also worked as a consultant with McKinsey & Co. and Ernst & Young. He has master's degrees from Harvard University and Oxford University and a bachelor’s degree from the University of Alberta. Paul is the Co-founder / CTO of Zenlytic, a self-serve BI tool that uses LLMs to provide a simple chat interface to complex business data. He's worked in data for 7+ years and is passionate about all things data and AI. He has a master's from Harvard in Data Science, and while there, he worked with the Minor Planet Center on algorithms to detect if previously untraceable asteroids were going to hit the Earth. Before Harvard, he worked for Roche developing algorithms that run hand-held blood glucose meters. He lives in Denver, CO, where he spends his free time snowboarding, running, and rock climbing. Zenlytic has raised seed round funding from Sequoia Capital and Bain Capital Ventures among others for over $6M. It is revolutionizing how AI is changing the business analytics and visualization powered by plain self-serving chats with its AI assistant Zoe. transcript 00:00 Intro 02:15 Zenlytic, Dashboards and Self-serve Tools 04:42 PowerBI, Tableau & Why Another Tool 06:29 Semantic Layer on LLMs and Self-Serve Analytics 13:00 Replacing BI Analysts, Yann Lecaun & LLM Hallucination 15:19 Zoe, Zenlytic AI Assistant & Use Cases 23:24 Chat-based KPI Dashboard Making 26:312 Meeting at Harvard & Friendship outside Harvard 30:00 Role of Ivy League Network in securing VC Funding 34:50 Ingredients for landing VC Funding 37:32 Webapps vs Mobile Apps & Slack Integration 43:20 Cloud vs On-Prem, Security vs Flexibility 47:03 Snowflake vs Databricks 51:12 Cost per Acquisition & Burn Rate for Start Ups 57:01 No-code vs Code, Bubble for Web Design 01:01:31 AI doomerism and Future of Work 01:08:22 Grad School Project on Telescopes Monitoring Asteroid 01:11:00 Horse betting and Gambling Algorithms 01:19:30 AI race between US & China and its Impacts 01:34:50 EU AI Act, Regulation vs Innovation, Prevention vs Experiment 01:39:10 Generative AI and Societal Challenges 01:45:14 Start-Up Hiring and Quality of University Grads and Education 01:57:00 Future of Zenlytic & Upcoming Features Guest links: Ryan Janssen: https://www.linkedin.com/in/janssenryan/ Paul Blankley: https://www.linkedin.com/in/paulblank... Zenlytic: https://www.zenlytic.com/

Prosthetic Hands with Aadeel Akhtar Mar 14, 2022

Dr. Akhtar received his Ph.D. in Neuroscience and M.S. in Electrical & Computer Engineering from the University of Illinois at Urbana-Champaign in 2016. He received a B.S. in Biology in 2007 and M.S. in Computer Science in 2008 at Loyola University Chicago. His research is on motor control and sensory feedback for upper limb prostheses, and he has collaborations with the Bretl Research Group at Illinois, the Center for Bionic Medicine at the Shirley Ryan AbilityLab, the John Rogers Research Group at Northwestern University, and the Range of Motion Project in Guatemala and Ecuador. In 2021, he was named as one of MIT Technology Review’s top 35 Innovators Under 35 and America’s Top 50 Disruptors in Newsweek.

00:00 Intro

01:42 Multiarticulation of Prosthetic Hand, Finger Movements

03:10 Visiting Pakistan at 7 Years Old, Inspiration for Prosthetics

04:34 $75,000 vs $10,000 Hand, Cost Reduction & Accessibility

06:13 Sourcing Parts from China, Shenzen, Electronic Part Capital of the World

08:45 3D Printing of Hand and Distribution of locally vs imported Parts

11:00 Fixing Repair Problems for Imported Components from China, COVID 19

12:31 USB port, Bluetooth and Spiderman Web

16:56 Android/iOS App, AI&ML & Sensitivity Controller

18:50 From Research to Market, Tactile Feedback

24:15 Invasive Technology, Electrode Scarring & Partnerships

27:11 Cortical Implants & Future of BCIs for Humanity

31:39 Neuroscience Labs as Co-working Spaces

33:20 Guitar, Linkin Park & Mohawk

38:34 OpenAI and Rubic Cube vs Prosthetic Hand

49:16 Work in Ecuador & Inception of the Idea

52:39 3D Printing vs Manual Construction of Prosthetics - Robustness

01:04:31 Multimodel Neuroplasticity & Forced Interchangeability

01:10:06 Neuroscience of Parenting, Catch 22

01:14:00 Importance of Recognition & Thanking the Crew as a Leader

01:17:00 From $200 in account to Funding round and Medicare Approving Psyonic Hand

01:20:29 Going Global and Exploring New Markets

01:23:31 Infection Mitigation Design

01:29:06 Low Cost Competitors, KalArm by Makers Hive & Game Plan

01:36:33 Shoe Dog by Phil Knight and Power of Grit

01:40:40 Impact, Legacy & Fulfillment

Guest Social Media Aadeel’s Profile: https://www.linkedin.com/in/aadeelakhtar/Perosnal Website: https://www.aadeelakhtar.com/Newsweek Coverage: https://www.newsweek.com/2021/12/24/americas-greatest-disruptors-medical-marvels-1659061.htmlMIT Innovators Coverage: https://www.technologyreview.com/innovator/aadeel-akhtar/

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Google: https://bit.ly/3s5vDwc

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Who is Minhaaj?

Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.

CONNECT WITH Minhaaj

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Data Warehouse with Bill Inmon Mar 07, 2022

William H. Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, nonvolatile, integrated, time-variant collection of data in support of management's decisions. Compared with the approach of the other pioneering architect of data warehousing, Ralph Kimball, Inmon's approach is often characterized as a top-down approach.

00:00 Intro

01:17 From failed Golf Career to a Computing one

03:06 Originality, Patterns & Database Design

04:37 Punch Cards, Magnetic Tapes, Fortran, Cobalt & Bits in IBM 1401s

11:16 First Book with Arnie Barnett, First Conference & Peer Pressure from Vendors

14:26 Winning over Marketing & Sales People vs IT Departments

18:15 Rise & Fall of IBM, Arrogance, Rudeness & Apathetic Company

20:04 Prism Solutions & Early Days of Data Warehousing, Dormant Data & Textual ETL

30:20 Corporate Information Factory, DataMarts & ETL

32:00 Inmon vs Kimball Approach of Data Architecture, Good, Bad & the Worse

36:15 Data Reliability with Data Marts vs Centralised Data Warehouse

39:00 Staging Area in Kimball System vs Vetting the Data

41:00 Metadata, Beethoven & Importance of Metadata,

45:00 Prolific Writing, Family of Writers & Edgar Allan Poe. Hated Writing in College

48:51 Writing Course at Stanford, Fiction & Technical Communication

51:16 Fiction Published Work & Posthumous Publishing

57:03 ELT vs ETL, Data Needs Work. Computing Power and Data Transformation

01:01:31 Big Data, Data Creation Speed & Future of Data Warehousing

01:04:06 Textual ETL, MIT Symposium & Text Data Utilisation Algorithms, Medical Research & COVID 19

01:13:45 Transformers, NLP, Graph Learning & Unfair Criticism & Animosity

01:23:56 Dotcom Bubble, Gartner’s Hype Curve, Theranos and Deception

01:29:45 Venture Capitalists are not Smart People, they are Rich People.

01:35:31 Cloud Computing vs Local DWHs

01:38:06 Databricks vs Snowflake

01:42:03 Not a Book Reader, Carving your Own Path

01:45:56 Travelling to 59 Countries, Experiencing Culture & Interesting Interactions

01:50:00 From California to Colorado, Nature in the Rockies & Life

Full Episodes Playlist link: https://bit.ly/3p2oWJA

Clips Playlist link: https://bit.ly/3p0Qmzs

Apple Podcasts: https://apple.co/3v0YZxV

Google: https://bit.ly/3s5vDwc

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Who is Minhaaj? Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.

CONNECT WITH Minhaaj

✩ Website - https://bit.ly/3LMvwgT

✩ Minhaaj Podcast - https://bit.ly/3H8MK4G

✩ Twitter - https://bit.ly/3v3t1RJ

✩ Facebook - https://bit.ly/3sV0XgE

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✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO

Building Data Teams & Culture - Lisa Cohen Nov 19, 2021

Lisa Cohen is the Director of Data Science at Twitter and Formerly at Microsoft for 20 years. He holds a bachelor and a master in Applied Mathematics from Harvard and is one of the most influential women in Data Science and AI. 00:00 Intro 02:52 Harvard, Microsoft, and Twitter. From SE to Data Science 03:40 Work Culture at Microsoft, Bigger Picture & Customer First Paradigm 16:40 Working with Bill Gates, Satya Nadella, Leadership Lessons & Marty Kagan 19:30 Zoom Meetings, Productivity & Innovation, ‘Drive’ by Daniel Pink 23:13 Working Styles, Introversion vs Extraversion, 26:43 5-day Week, Focus and Scandinavian Productivity 28:50 The Great Resignation, Data Science Jobs, Networking for People who hate Networking 34:28 Twitter vs Everything else, Metaverse, Space Tourism, 36:50 Non-computing Backgrounds & Transition into Data Science 42:35 Azure’s Race with Amazon in Cloud Computing, OpenAI & First Mover Advantage 46:50 Softball & leadership, Azure Sharks & ‘Hit Refresh’ by Satya Nadella 51:16 Reid Hoffman, Naval Ravikanth & Inspirational Leaders 55:00 Roadblocks in Optimising Data Utilization for Creating Business Value 01:01:00 Data-Centric Models vs ML-Centric Models, Data Augmentation & Use Cases at Microsoft 01:04:04 NVIDIA GTC, Apple M!, Chip Shortage and repercussions for AI 01:08:49 Women in STEM, Mom Support Group & Women leaving STEM faster 01:17:06 Lessons for Leadership being a Parent. 01:20:25 Managing things as a Parent, Work Cycles & Productivity Marathon 01:21:00 Valedictorian Child, Being Elder Sibling, Work Ethics and Parents 01:25:30 Performance Expectation, Sibling Rivalry, Being a Role Model 01:27:19 Mentors and Best Advice 01:30:05 Jack Dorsey, Life, Legacy & Impact on Others yse083q3AKJv8eUnKDPK

Data Science Careers with Dhaval Patel - Codebasics Youtube Oct 23, 2021

Dhaval Patel is a software & data engineer with more than 17 years of experience. He has been working as a data engineer for a Fintech giant Bloomberg LP (New York) as well as NVidia in the past. He teaches programming, machine learning, data science through YouTube channel CodeBasics which has 428K subscribers worldwide.

00:00 Intro

01:34 Autoimmune disease ‘Ulcerative colitis’, Life & Death Struggle, Back to Life

03:40 Mental Health, Steroids & Immune System

11:00 Planning Videos, Pedagogy & Smart People Problem

17:15 Working at Bloomberg, Bloomberg Trading Terminal & Exceptional Talent in Bloomberg

21:13 Career Tracks on Data Related Spectrum, Pathways for different Careers

25:16 Data Structure and Algorithms, Politics vs Equations, Eternity

28:20 ML vs Deterministic Programming, Time & Space complexity of the ML Models

30:37 Kaggle vs Real Life, Soft Skills for Engineers, Transition from Competitions to Industrial Use-cases

30:02 Litmus Test for Hiring Data Scientists, Continuous Engagement & Adaptability

42:35 Loss of Productivity by Lack of Communication Skills, Education System Deficiencies, How to Win Friends by Dale Carnegie

46:50 Death by PowerPoint, Simplicity & Walk vs Talk

49:51 Negotiating Salary, Action vs Motivation, Cellphone is a Distraction

57:35 Growing Vegetables, Joy of Gardening, Rural Childhood & GMO Food

01:01:40 Dhando Investor, Motel Business Monopoly by Patels, Software Engineering

01:04:04 Deep learning, C++ Back-propagation Algorithms, Nvidia Titan RTX GPUs, Amazon Stores Experience

01:08:49 Nvidia Broadcast Noise Cancellation Demonstration, Nvidia Card Filtering, CNNs and Edge Detection

01:16:06 BlackBox Models, ML-centric vs Data-Centric Models,

01:19:25 Natural Language Understanding, Yann Lecaun, Low Accuracy is NLP Models

01:21:18 Github AI Pairing, Data Structures & Future of Programming Languages

01:27:01 ETL pipelines & Distributed Computing Structures

01:30:00 FAST API, Beginner’s Tools, Pytorch vs TensorFlow, Improvements in Tensorflow 2.0

01:35:05 Programmers vs Normal People, Semantics of English vs Programming Languages, pd.read_csv

01:38:03 Nvidia GPU vs Apple M1 GPU, Hope for non-Nvidia Deep-learning, Google Colab

01:41:30 Google Pixel, Google Tensor Chips & Chip Shortages

01:44:00 Discord Community for Data Science, Mentorship & Abundance Mindset

01:49:00 Struggles, Battles, Hopelessness & Dysphonia

BCIs, Neuro Modulation and NeuroEthics with Harrison Canning Oct 16, 2021

Harrison Canning is a student at the Rochester Institute of Technology in the School of Individualized Studies, Founder of The BCI Guys & Neurotechnology Exploration Team. He makes videos on his Youtube channel The BCI Guys and has designed his own degree centered around brain-computer interface technology (BA in Neurotechnology).

The BCI Guys is a media company dedicated to removing the barrier to entry and increasing interest in the field of neurotechnology. It produces engaging, sensational, digestible, and informative content via YouTube, podcasts, and blog posts. Its aim is to lead the conversation around neurotechnology through a science-based approach and conveying what is possible, while also conveying the tremendous potential of brain-computer interface and neuromodulation technologies.

00:00 Intro

01:34 Assault, Concussion and Neurotech

06:01 Coping with Memory Loss, Mathematical Ability & Courage

12:50 Moral Support, SuperMoms & Hope

08:15 Bodysuits, Neuro diseases, Robotics & Boston Dynamics

10:48 Pros and Cons of invasive vs non-invasive Solutions, 1000 Brains Theory, Signal Amplification Issues

13:40 Lucid Dreams, Brain Wave Differences in Human Subjects, RIT Neurotech Research Lab

28:16 Accuracy for Apple Watches & Wearables and Size to Measurement Precision Ration

30:39 SpO2 Levels, Sleep and Stress levels, False Positives

33:32 Delta Waves, Meditation and Focus Research

37:30 Post-trauma Brain Rewiring, Man with Half a Brain, Machine Learning & Intent Prediction through Connectomes

43:10 NeoCortex in Humans vs Other Animal Species, Cons of Late Maturation of Cortex, Human Behavioral Biology

47:00 NeuroPharmacology vs NeuroModulation, Addiction & Jordan Peterson

50:00 Deep Brain Stimulation, Jaak Panksepp, Clinical trials on 2000 People, Controllable Neuro Modulation to Alleviate Pain

53:30 Number of Electrodes, Depression & Anxiety, Neuropathic Pain

56:10 Seizure Detection through AI, Brain Wave Patterns for Seizures, Chip Implants for Preventing them

58:30 Inspiring Mentor & Role Model

01:02:40 Neuroscience Starter Kit, Cost of Hypondyne Z vs OpenBCI , $499 EEG Cap

01:06:04 Neurotech Education Around the World. Neurotechx Latam, Nigerian Schools

01:10:02 Distributed Neurotech, Remote Patient Monitoring, Technology Exchange

01:14:50 Wernicke & Broca’s Area, Speech Restoration through ML & BrainGate

01:21:25 Motor vs Sensory Homunculus, Sense Substitution & Neuroplasticity

01:26:18 Predicting Human Activity based on Brain Waves, Jennifer Anniston Neuron & Dedicated Neurons

01:30:30 AGI, Recreation of Artificial Brain & Limbic System

01:36:00 Stereotypes as Dropout Regularisation, Racism, Xenophobia, Polarity

01:39:20 Icecream, Greasy Food, Music, Happiness, Sex & Rationality

01:42:00 Future of BCI Guys

01:27:30 Neuroethics, Facebook Whistleblower, Body Image, Culture, Society & Cognitive Enhancements

Pytorch Geometric with Matthias Fey Oct 09, 2021

Matthias Fey is the creator of the Pytorch Geometric library and a postdoctoral researcher in deep learning at TU Dortmund Germany. He is a core contributor to the Open Graph Benchmark dataset initiative in collaboration with Stanford University Professor Jure Leskovec.

00:00 Intro

00:50 Pytorch Geometric Inception

02:57 Graph NNs vs CNNs, Transformers, RNNs

05:00 Implementation of GNNs as an extension of other ANNs

08:15 Image Synthesis from Textual Inputs as GNNs

10:48 Image classification Implementations on augmented Data in GNNs

13:40 Multimodal Data implementation in GNNs

16:25 Computational complexity of GNN Models

18:55 GNNAuto Scale Paper, Big Data Scalability

24:39 Open Graph Benchmark Dataset Initiative with Stanford, Jure Leskovec and Large Networks

30:14 PyG in production, Biology, Chemistry and Fraud Detection

33:10 Solving Cold Start Problem in Recommender Systems using GNNs

38:21 German Football League, Bundesliga & Playing in Best team of Worst League

41:54 Pytorch Geometric in ICLR and NeurIPS and rise in GNN-based papers

43:27 Intrusion Detection, Anomaly Detection, and Social Network Monitoring as GNN implementation

46:10 Raw data conversion to Graph format as Input in PyG

50:00 Boilerplate templates for PyG for Citizen Data Scientists

53:37 GUI for beginners and Get Started Wizards

56:43 AutoML for PyG and timeline for Tensorflow Version

01:02:40 Explainability concerns in PyG and GNNs in general

01:04:40 CSV files in PyG and Structured Data Explainability

01:06:32 Playing Bass, Octoberfest & 99 Red Balloons

01:09:50 Collaboration with Stanford, OGB & Core Team

01:15:25 Leaderboards on Benchmark Datasets at OGB Website, Arvix Dataset

01:17:11 Datasets from outside Stanford, Harvard, Facebook etc

01:19:00 Kaggle vs Self-owned Competition Platform

01:20:00 Deploying Arvix Model for Recommendation of Papers

01:22:40 Future Directions of Research

01:26:00 Collaborations, Jurgen Schmidthuber & Combined Research

01:27:30 Sharing Office with a Dog, 2 Rabbits and How to train Cats

Graph Neural Networks with Ankit Jain Sep 20, 2021

Ankit is an experienced AI Researcher/Machine Learning Engineer who is passionate about using AI to build scalable machine learning products. In his 10 years of AI career, he has researched and deployed several state-of-the-art machine learning models which have impacted 100s of millions of users.

Currently, He works as a senior research scientist at Facebook where he works on a variety of machine learning problems across different verticals. Previously, he was a researcher at Uber AI where he worked on application of deep learning methods to different problems ranging from food delivery, fraud detection to self-driving cars. He has been a featured speaker in many of the top AI conferences and universities like UC Berkeley, IIT Bombay and has published papers in several top conferences like Neurips, ICLR. Additionally, he has co-authored a book on machine learning titled TensorFlow Machine Learning Projects. He has undergraduate and graduate degrees from IIT Bombay (India) and UC Berkeley respectively. Outside of work, he enjoys running and has run several marathons.

00:00 Intro

00:17 IIT vs FAANG companies, Competition Anxiety

05:40 Work Load between India and US, Educational Culture

07:50. Uber Eats, Food Recommendation Systems and Graph Networks

11:00 Accuracy Matrices for Recommendation Systems

12:42 Weather as a predictor of Food Orders and Pizza Fad

15:48 Raquel Urtusun and Zoubin Gharamani, Autonomous Driving and Google Brain

17:30 Graph Learning in Computer Vision & Beating the Benchmarks

19:15 Latent Space Representations and Fraud Detection

21:30 Multimodal Data & Prediction Accuracy

23:20 Multimodal Graph Recommendation at Uber Eats

23:50 Post-Order Data Analysis for Uber Eats

27:30 Plugging out of Matrix and Marathon Running

31:44 Finding Collusion between Riders and Drivers with Graph Learning

35:40 Reward Sensitivity Analysis for Drivers in Uber through LSTM Networks

42:00 PyG 2.0, Jure Leskovec, and DeepGraph, Tensorflow Support

46:46 Pytorch vs Tensorflow, Scalability and ease of use.

52:10 Work at Facebook, End to End Experiments

55:19 Optimisation of Cross-functional Solutions for Multiple Teams

57:30 Content Understanding teams and Behaviour Prediction

59:50 Cold Start Problem and Representation Mapping

01:03:30 NeurIPS paper on Meta-Learning and Global Few-Shot Model

01:07:00 Experimentation Ambience at Facebook, Privacy and Data Mine

01:09:03 Cons of working at FAANG

01:10:20 High School Math Teacher as Inspiration and Mentoring Others

01:18:25 TensorFlow Book and Upcoming Blog

01:16:40 Working at Oil Rig in the Ocean Straight Out of College

01:20:08 Promises of AI and Benefits to Society at Large

01:25:50 Facebook accused of Polarisation, Manipulation and Racism

01:28:10 Revenue Models - Product vs Advertising

01:31:15 Metaverse and Long-term Goals

01:33:10 Facebook Ray-Ban Stories and Market for Smart Glasses

01:36:40 Possibility of Facebook OS for Facebook Hardware

01:38:00 LibraCoin & Moving Fast - Breaking Things at Facebook

01:39:09 Orkut vs Facebook - A case study on Superior Tech Stack

01:42:00 Careers in Data Science & How to Get into It

01:45:00 Irrelevance of College Degrees and Prestigious Universities as Pre-requisites

01:49:50 Decreasing Attention Span & Lack of Curiosity

01:54:40 Arranged Marriages & Shifting Relationship Trends

AI in Supply Chain and Economics of Logistics - Frank Corrigan Aug 21, 2021

Francis Corrigan is Director of Decision Intelligence at Target Corporation. Embedded within the Global Supply Chain, Decision Intelligence combines data science with model thinking to help decision-makers solve problems.

00:00 Intro

01:21 Data Science applications in Logistics and Supply Chain, Cost and Performance trade-off

03:21 Amazon vs Target fulfillment Model, Owning vs Coordinating with Last Mile companies e.g. FedEx

08:36 Suez Canal Container Blockage, Fallback plan at Target

10:37 Predicting products to Stock in Bottle Neck Scenarios

12:42 Air Freight vs Sea Shipments Costs, Ideal vs Real World Deliveries

15:48 Lack of Good Data and Prediction Challenges

18:00 Managing Expectations as Head of Analytics, Importance of Communicating

20:11 Stakeholder Management & Data Science Newsletter

23:39 Technical and Non-technical Teams Coordination, Speed Reading

26:36 Data Stories and Visualizations

29:47 Reporting Pipelines vs Story Narration

31:37 Times Series, Prophet, Flourish and Hans Rosling

35:28 Economist turned Data Scientist, Embarrassment as Motivation

38:20 Lack of Practical Skills of Data Science at University

41:18 Employer’s Perspectives on Data Science Talent

45:24 What Causes Data Teams Failure

48:40 COVID 19 and Times Series Corruption, Anomaly Detection

56:15 Toilet Paper Demand Scenario, Commodity Pricing Alerts

59:50 Automating Alerts for Panic Situation

01:02:10 Pandemic as a Blessing for Digital Business, Exponential Growth Rates and Tuition Fee Reimbursement for Employees

01:06:06 Data as Decision Support System, Strategic Decision Indicators

01:08:08 Capital in 21st Century, Thomas Piketty and Free Markets

01:11:31 Failures of Capitalist Societies on Individual Front and Socialist Aversion of Wealth Generation

01:15:15 UBI, Interventions, and CEO to Lowest Paid Worker Ratio

01:18:25 Career Blunders and Regrets

01:22:12 Psychometric Tests for Intellect Filtering, Behavioral Stability and Creativity Trade-off

01:24:08 Target’s Epic Failure in Canada, What Data Science could have Prevented

01:25:08 Gameplan to Compete with Walmart and Amazon

01:28:00 Sarimax, Armiax and Volatility Management, Planning vs Forecasting

01:31:33 Deep NNs or Lack thereof, Explainability and Monte Carlo as Alternative

01:34:00 Model Parsimony in Times Series, Baseline Models in Excel

01:37:50 R vs Python, Specific Use Cases

01:40:25 Delegating and Element of Trust

01:43:20 Time and Space Complexity of Models, Netflix and Deployments at Target

01:46:00 Political Impacts on Shipments, Narratives and Hypothesis Testing

01:48:00 Nate Silver, Nassem Talib, and Early Inspirations

01:52:05 Work-life Balance

Natural Language Understanding - Walid Saba Aug 13, 2021

Walid S. Saba is the Founder and Principal AI Scientist at ONTOLOGIK.AI where he works on the development of Conversational AI. Prior to this, he was a PrincipalAI Scientist at Astound.ai and Co-Founder and the CTO of Klangoo. He also held various positions at such places as the American Institutes for Research, AT&TBell Labs, Metlife, IBM and Cognos, and has spent 7 years in academia where he taught computer science at the New Jersey Institute of Technology, theUniversity of Windsor, and the American University of Beirut (AUB). Dr. Saba is frequently an invited speaker at various organizations and is also frequently invited to various panels and podcasts that discuss issues related to AI and Natural Language Processing. He has published over 40 technical articles, including an award-winning paper that was presented at theGerman Artificial Intelligence Conference in 2008. Walid holds a BSc and an MSc in Computer Science as well as a Ph.D. in Computer Science (AI/NLP) which he obtained from Carleton University in 1999.

00:00 intro

01:00 Language as a mental construct, PAC, Subtext in Sentences

06:28 OpenAI’s Codex Platform, Below Human Baseline Performance of NLP

18:00 Comprehension vs Generation, Search vs Context

19:20 Sophia the Robot, Shallow ethics in AI and Commercialisation of Academia

27:40 Bad Research Papers, Facebook runaway train & AI Godfathers Cult.

32:30 AI leaders and Profiteering, Unethical Behaviour of Influencers.

37:50 Non-Verbal Component of Natural Language Understanding, Prosody and Accuracy Boost

41:33 Ontologik’s NLU Engine, Adjective Ordering Restriction Mystery

43:58 Ontological Structure and Chomsky’s Universal Grammar, Discovery vs Creation

45:31 Entity Extraction and How Ontologik’s Engine tackles this Problem

47:50 Language Agnostic Learning, Foreign Language Learning, and Pedagogy of Linguistics

54:00 First Language, Blank State and Missing Sounds in Some Languages

55:20 Real-time Language Translation Engines, AR/VR Aids and Commercial Utility

01:01:00 Sentiment Analysis, Language Policing & Censorship

01:04:00 Ontological Structures, Gender Bias and Situational Paradox

01:09:00 3 Foods for Rest of the Life & Fad Food Indulgence

01:11:00 Inspiration for Getting into the Field, Career Ideals & Cultural Influence

01:15:30 Epistemology, IQ and The Bell Curve

01:17:00 Einstein’s IQ, Haircut, Social Skills, and Success Rubric

01:22:00 Attracting Brilliant Talent Around the World, Ivy League PhDs & Standardised Testing

01:28:40 Unsupervised Learning, Accuracy & Comprehensibility in NLU

01:30:20 BF Skinner, Pavlovian Dogs, Skinner has been Skinned.

01:37:50 Human Behavioral Biology, Endocrinal System similarities with Humans yet they don’t learn Languages.

01:45:30 Language as an expression of Genetic differences, Big Five & Phenotype.

01:49:40 IBM Watson Personality Insights, Text-based personality Inferences.

01:55:30 Long Short Term Memory Issue in Ontologik’s Engine, Computational Complexity, Timeline for Release

China, Fintech, CDBC and BlockChain - Richard Turrin Jul 09, 2021

Richard Turrin is an award-winning, dynamic Fintech expert with over 20 years of experience in leveraging new technology to drive revenue growth for market-leading companies. He writes, speaks, and consults on innovation and China because he learned about both the hard way. He headed four labs in banks responsible for financial product innovation and headed fintech operations in China. His best-selling books 'Cashless' and 'Innovation Excellence Lab' are some of the most recommended books on the topic. He has worked for IBM in senior roles and has been a professor at Hult International Business School.

00:00 intro

00:38 Financial Crisis of 90s and Arrival in Shangai

03:32 China, From Copycat to Innovator, WeChat and Mark Zuckerberg

08:42 Twelfth Five-Year Plan, Regulation of IT and China’s Gorbachev of Fintech

15:09 Crocodile in the Yangtze, Chinese’s Public-Private Partnership and Liberalisation

24:19 China’s Great Firewall, Invasion of Privacy and Uhygar Plight, Freedom as an Average Consumer

32:24 Central Bank Digital Currency, Blockchain and Version 2.0

42:00 Architecture of CDBC. Centralised, Decentralised or Distributed. Public or Private BlockChain

54:00 Challenges of International Adoption of China’s CDBC , US’s Exclusionary Policy and China’s Partnerships in Africa and Middle East

01:11:50 Losers in Chinese CDBC War, US and Allies, PayPal, Square, Stripe and Alipay

01:29:30 US Foreign Policy, Walk of Shame out of Afghanistan, Fiascos in Iraq and Vietnam and Lost Respect in International Community

01:39:50 China’s Innovation beats US by at least 5 Years, Repercussions of CDBC, Smart Contracts and Private Sector Trade

01:12:21 Inspiration in Life, Love of Books and Loss of Mother

Structural Equation Modelling in Information Sciences - James Gaskin Jul 03, 2021

James Gaskin is a professor of Information Systems Management at Brigham Young University.

00:00 intro

07:00 Mismatch between Pedagogical Style and Student Needs

12:11 Behavioral Science and Structural Equation Modelling.

16:40 Cut-off scores in Model Acceptance in SEM

17:30 SEM on Big Data and Computational Intensity

20:14 Model Explanation in Academics vs Industry

21:16 Academic Trash Research Papers getting Published

23:35 Gerry-mandering of Data and Publishing Mafia

26:20 HTMT as Discriminant Validity Criteria and other Accuracy Metrics

28:20 Empirical vs Mathematical Convergence of Models and Compromise

29:51 Life as Gymnast and 31 Moves in Life, Japan, California and Malaysia

35:00 Failing High School and Relationship Stability

37:19 Data Scientist vs Academic Learning - Siloed Knowledge

49:39 Book ‘How to lie with Statistics’, John Perkins, Joseph Stiglitz and Political Manipulation of Data

44:22 Enron, Big Four and Cooking Books

47:26 Hedonist Motivation System, Pavlov’s Reinforcement and SEM

53:40 Futility of Research in Social Sciences and Remedy

55:40 Utrect University Abandons Citations for Hiring and Promotion of Faculty for Open Science

59:40 Work Path towards Ph.D in Australia. Practice vs Theory

01:03:00 Fixing the Academia and Failure. Video Journals for Research

01:07:49 Ratemyprofessor Score and Wrong Incentives for Teacher Rating

01:10:00 University Campus as Political Battlefields, Psychology and Conservatism

01:12:21 Dilemma of Academia vs Industry in Future

01:31:51 Favourite SEM software

01:17:40 Shortcomings of AMOS by IBM

01:19:36 Mediation and Moderation in Structural Models and Explainability

01:23:20 Dropout Regularisation, Second Generation Statistical Tools & Explainability

01:26:00 HC Moneyball and SEM for Understanding Dynamics

01:31:00 Path Analysis and Sales Data Modelling

01:532:41 Mediation and Moderation analysis and Prediction

01:37:40 The Invention Book and Mechanical Engineer

01:40:15 Daughters, Invention Book and Different temperaments

01:53:41 Mediation and Moderation analysis and Prediction

Low-Code Data Science Solutions and Business ROI - Ganes Kesari Jun 19, 2021

This week I'll sit down with Ganes Kesari, Chief Decision Scientist at Gramener, the company behind Gramex and an innovative rising star. Ganes is a contributor in leading magazines such as Forbes, TechCrunch, Entrepreneur, and The Enterprisers Project. He won the 2020 CSuite Award for best blog by a business leader. He has taught at Princeton University and Indian Business School and has been invited to speak at TED, O'Reilly Strata, Microsoft, and Intel events.

Timestamps

00:00 intro

03:04 Gaining Business Value from AI Initiative, Establishing Baselines

08:41 Human vs AI performance baseline, Long Term Benefits of AI

10:30 Netflix’s Recommendation Engine Competition, Failed ROI and Model Accuracy

15:40 GCP losses, Data and Model Drifts, Bulls Eye in a Moving Target

19:40 Data Maturity Assessment Tool, 5 Stage Roadmap

23:20 Logging in Personal Journal, 4 years, 120,000 data points.

25:40 From Siloed Modules to End to End Flow, Gramex Unified Architecture

29:30 Gramener Game Plan, Services vs Platform

34:28 Using ModelHandler to Furnish Realtime Business Visualizations

36:51 WorldBank Data Visualisation of Technology and Entrepreneurship Report, Data Story Component

42:33 Data Journalism at Guardian, Character and Plot Visualisation of Hindu Epic Saga Mahabharata, Shakespeare’s Sonnets, Hans Rosling and GapMinder

47:18 Airtel Contract Deals

49:51 IITs, IIMs, Geeks and Humor

54:22 Education in India, SAT scores and Path Ahead

58:50 Industry-Academic Partnerships and Practical Experience

01:03:00 AI Adoption Pain Points, Cybersecurity, Regulation, Fairness and Explainability

01:07:00 CNA Financial $40M ransom payment and AI Adoption Correlation

01:13:00 Increasing Bain & Company’s Net Promote Score for a Computer Manufacturer

01:20:19 Backing in Himalayas and Monastery in Bhutan

01:25:25 AI in Biodiversity, Rhinoceros, Penguins and Whale Shark as Endangered Species

01:30:01 Google Vertex AI, Alteryx, Knime vs Gramex, Future Strategy

01:35:30 Slidesense, Business Reports and Powerpoint Integration

01:39:26 Explaining DeepLearning to your Daughter, Whitehat Jr Scam

01:45:00 How Technology is changing Social Landscape

01:47:26 Chess Champion, Garry Kasparov and DeepBlue Game

01:51:30 Chess and IQ, Narrow Intelligence and Transferability

01:53:01 Tesla Killing Jaywalker and AI’s Mindless Application

01:55:00 G7 Summit 2020 and AI war between US & China

01:58:33 Smart Twins, Enterprise Mass Production & Gramex

Interpretable Machine Learning with Serg Masis May 15, 2021

Serg Masis is the author of best-selling book 'Interpretable Machine Learning with Python' and senior Data Scientist at Sygenta. He has mentored many data scientists around the world.

Timestamps:

00:00 intro

08:30 Old 4.77 MH z Computer, Late 80s and Programming

11:51 Fairness, Accountability and Transparency in Machine Learning, Startup and Harvard

16:33 Fairness vs Preciseness, Bias and Variance Tradeoff, Are Engineers to blame?

21:43 Mask-Detection Problem in Coded-Bias, Biased Samples, Surveillance using CV

32:38 Fixing Biased Datasets, Augmenting Data and Limitations

37:39 Algorithmic Optimisation and Explainability

40:51 Eric Schmidt on Behavioral Prediction, SHAP values, Tree and DeepExplainers

44:50 Challenges of using SHAP and LIME & Big Data

49:37 GPT3, Large Models and ROI on Explainability

01:00:00 TCAS, Collision Risks and Interpretability, Ransom Attacks

01:08:09 Guitar, Bass, and Led Zepplin

01:09:31 Birth Order and IQ, Science vs Folk Wisdom

01:13:30 Reverse Discrimination & Men, Bias in Child Custody, Prison Sentences, and Incarceration

01:23:11 Receidivism to Criminal Behaviour, Ethnic over-representation & Systematic Racism

01:24:44 Human Judges vs AI, Absolute Fairness, Food and Parole

01:30:20 Face Detection in China, Privacy vs Convenience, Feature Engineering and Model Parsimony

01:35:51 Sparsity, Interaction Effects, and Multicollinearity

01:38:23 Four levels of Global and Local Predictive Explainability

01:43:17 Recursive and Sequential Feature Selection

01:47:42 Ensemble, Blended and Stacked Models and Interpretability

01:53:45 In-Processing and Post-Processing Bias Mitigation

01:57:00 Future of Interpretable AI

Business Psychology, Personality Assessments and Data Science with Ryne Sherman May 11, 2021

Ryne Sherman is Chief Science Officer of Hogans Assessments and Podcast Host of Hogan's Podcast. He was a Professor of Psychological Sciences at Florida Atlantic University before that.

TimeStamps:

00:00 intro

01:42 Personality Portraits, Big Five, Self vs Other Reports

03:53 Trait Identification, Talent Hunting and Reputation-based Prediction

06:07 Adult Variations in Personality, High School Screening and Stability of Profile

08:03 Personality Profile of Trump Supporters and Shard Psychographics

11:40 Core Beliefs and Values as Predictors, Politics and Economic Stimulus

16:01 Psychometric Theory vs Pop Psychology, Response Patterns and Behavioral Predictions

19:11 From Archetypes to Oedipus complex, Reliability and Validity of Hogan Assessments

22:37 Machine Learning, AI and Personality Predictions, Ensemble Models

26:11 Algorithmic Explainability in Assessment Data, Avoiding Blackbox NNs

29:02 Career Development, Executive Recruiting and Personality Plasticity

32:00 Department transfers, Perceived Image and Reputation Awareness

33:51 Childhood, Boy Scout and High School

35:24 Birth Order and Research on Effects on Personality

37:00 Dark Side of Personality, Attention Craving and Workplace Problems

39:52 Explaining Personality Reports and Failed Predictions

Neurophysiology and Human Computer Interaction with Greg Gage Apr 30, 2021

Greg Gage is the co-founder and CEO of Backyard Brains, an organization that develops open-source tools that allow amateurs and students to participate in neural discovery. Greg is an NIH-award-winning neuroscientist with 9 popular TED Talks and dozens of peer-reviewed publications. Greg is a Senior Fellow at TED and the recipient of the White House Champion of Change from Barack Obama award for his commitment to citizen science.

Greg Gage

00:00 intro

02:28 Graduate Work to Brain Interface Company 20:40 Neuralink, EMG and Cyborgs

28:57 Electrode Scarring, Heart Stunts and Neural Engineering

09:40 Neuronal Activation for Behavioral Activations in Monkeys

38:39 Behaviorism, Experimental Psychology and Implications

40:41 Recreation of Memories through Artificial Hippocampus

41:40 Neural Network-based Prosthetics for Limb Amputees

46:50 AI bot Sofia, Facial Nerves in Robots for Emotive Abilities

51:44 Big Five, Personality Traits, Neurophysiology & Predicting Divorce

57:41 Mental Disorders and Wearable Tech

01:01:04 Surveys, Behavioral Data and Neuroscience

01:04:00 Neuroscience in Schools and Expansion to Developing World

01:16:00 Work with LEXUS designing Autonomous Car Experience, Children and Science

01:12:30 Community Work, Silicon Valley and Work Culture 01:20:00 RoboRoach, Flint Michigan and Joy of Learning

Digital Consciousness and Behavioral Science with Fabio Pereira Apr 10, 2021

Fabio Pereira is leading the Open Innovation Labs initiative in Latin America at Red Hat. Open Innovation Labs is an intensive, highly focused residency in an environment designed to experiment, immerse and catalyze innovation. He is the author of the book "Digital Nudge: The hidden forces behind the 35,000 decisions we make every day". He had been a Principal Consultant, a Digital Transformation Advisor at ThoughtWorks, a large software consultancy firm for over 10 years.

Fabio Pereira

00:00 intro

00:30 35,000 Decisions , Cognitive Overload and Delegation to Technology

02:30 Pre-Modern Man’s Cognitive Load and Number of Choices

13:52 Antidote to Decision Fatigue, Pomodoro Technique and CrossFit

09:40 Digital Quotient (DQ), Emotional Quotient (EQ) and IQ

14:10 Digital Nudge, Behavioral Sciences and Netflix

20:41 ThoughtWorks, Business Process and Insurance Company Use Case

26:20 UX and RX in Book Writing, Summarization and Legibility

30:20 Nir Eyal, Indestructible and Divided Attention

31:28 Growing up in Brazil, Movies with Subtitles and Hobbies

35:45 IRC, Global Citizenship, Pharmacy and World Travel

44:53 Snapstreak, YouTube Videos, Notifications, Dopamine and Loss Aversion

48:26 John Suler’s 6 Factors of Inhibition, Dual Identity and Twitter vs Linkedin

55:00 Clubhouse, Leaked Recordings and Real Self

56:00 Big Brother Brazil, Reality Shows and Evocation of Real Emotions

57:55 Cyborgs, Biohacking, Neuralink teaches Monkey’s to Play Games and Earthquake in Chile

01:01:00 Induced Emotions through Neurotransmitters and Hunger Aggression

01:05:00 Human Behaviour Biology, Robert Sapolsky and Diet/Memory Relationship

01:07:00 Thinking Fast and Slow and Ivy League baffling Bat and Ball Riddle

01:12:30 Intuition, ESP, Meditation and Eckhardt Tolle

01:18:12 Playing Prank on TEDx Audience, GDPR cookies and Privacy Policy Agreement

01:22:00 Default Biases for Visitors, Checkboxes, Radioboxes and Automatic Suggestions

01:29:52 Algorithmic Bias, Newzealand’s AI-based Passport issuance and Movie Coded-Bias

01:38:15 Intentional Bias, Diversified Training Set and Double-Edged Sword

01:41:40 Moral Decisions for Self-Driving Car, MIT Review article on flawed IMAGENET data

01:49:25 Time Well Spent movement , AR/VR tools for patients in Hospitals and Digital Nudging Tools

01:56:20 From CBT to Self-Assessing Behavioral Patterns

01:57:30 Innovation and Work at RedHat and Infobizity

02:01:00 Steve Wozniak, CS101 and Goals for ‘Digital Nudge’

Quantitative Investing with Vivek Viswanathan Apr 02, 2021

Vivek Viswanathan, is Global Head of Research at Rayliant Global Advisors founded by the brilliant, Jason Hsu (managed $145 Billion). Rayliant Quantamental China Equity ETF is a $22 Billion active portfolio employing a systematic approach to harvesting behavioral alpha by exploiting mispricings among Chinese stocks traded in markets around the world. We will be talking about Archegos, GameStop, Chinese Market and Algorithmic Trade, and much more. Don't miss this one!

# Vivek

00:00 intro

00:47 Fundamentals of Stock Investment

05:16 Blind Optimism, FOMO and Psychology of Investment

09:30 Quant Investing, Fundamental and Technical Analysis and Returns

15:40 Sentiment Analysis, Seasonality, Mean Reversal and Trend Signals

20:21 Survivorship Bias, Different Types and Remedy

24:07 Python, Automation, Risk and Retail Investors

31:27 Tech Stocks, Stability and Long-term Returns

34:08 Daniel Kahneman, Psychological Biases and Behavioral Economics

35:22 Tech Fatigue, Eye Strain and Productivity

40:13 Work from Home, Corporate Taxes and Universal Basic Income

45:38 McCarthyism, Socialism and Communism

49:30 Ernest Chang, PhD in Finance to become Quant Investor

52:22 Necessity of a Ph.D, Social Credentialing, Education System and Misplaced Rewards

01:02:40 Coursera IPO, Self-Learning and On-Job Training

01:05:16 Chinese Stock Markets, 2015 Crash, Regulation and Corruption

01:16:57 Why invest in Chinese ETFs, Inefficient Markets and Diversification

01:24:06 Trade Wars between US and China, Alaska Summit, Semiconductor Shortage

01:28:20 Archegos, Theranos, Wirecard, Enron and Stock Market Scams

01:33:20 Nissan Scandal, Arthur Anderson, Big Four and Abetting the Scammers

01:38:30 Rayliant Global Advisors, Jason Hsu and Learning the Trade

01:41:10 Blackbox of Neural Networks, Expected Returns Signals and Explainability

01:44:45 Linear and Non-linear Patterns, Weighted Averages and Decomposition of Reasons

01:47:28 Books, Dhando Investor, Intelligent Investor and Medallion Fund

01:53:18 Work Related Stress, 100 hour week at JP Morgan, Gym and Diet

01:57:10 Protein Intake, Keto and Vegetarianism

02:02:02 Cardio, Glycogen and Oxygen Levels in Blood

Big Data, AI and Health Care with Prashant Natarajan VP H20.ai Mar 27, 2021

Prashant Natarajan is the Vice President of H20.ai Health and Life Sciences division with a record of turning things around at Siemens Oracle Deloitte Unum. He is a Co-Faculty Instructor at Stanford University, author of numerous best-selling books e.g. “Demystifying Big Data & Machine Learning for Healthcare,” published by Taylor & Francis. His latest book is on its way " Demystifying Artificial Intelligence for the Enterprise: Building Tomorrow’s Self-Driving Organization (upcoming 2021)".

Remote Work with Wayne Turmel Mar 20, 2021

For 25 years, Wayne Turmel has been obsessed with how people communicate at work. For the last 15, he’s focused on communicating through technology. He is a co-founder of the Remote Leadership Institute (www.RemoteLeadershipInstitute.com) , and author or co-author of 13 books including The Long-Distance Teammate, Stay Engaged and Connected While Working Anywhere, and The Long-Distance Leader, Rules for Remarkable Remote Leadership. He’s had the honor of working with clients around the globe. Originally from Canada, Wayne now lives and works in Las Vegas.

Bioinformatics with Chanin Nantasenamat aka Data Professor Mar 05, 2021

On Friday, March 5th, I will be talking to one of the best data science mentors on Youtube, known for his work in bioinformatics and machine learning. His colorful infographics, succinct visualizations of the concepts, and depth of knowledge amaze every beginner in data science. Chanin Nantasenamat is also known as 'Data Professor', a name everyone knows if they have ever searched for 'data science' on youtube. He is the head of 'Center of Data Mining and Biomedical Informatics' at Mahidol University, Thailand, and an Associate Professor as well. He has held visiting professor positions at Uppsala University in Sweden and California State University and University of California in US. He has been the principal investigator of grants worth millions of dollars and has received numerous awards for his teaching and research work. He has over 100 publications at the cutting-edge of bioinformatics. He has peer-reviewed in over 40 journals. Join us as we explore the boundaries of drug development and biotechnology and how data science and AI is helping us do that.

Neuroscience of Memory with Dr Boris Konrad Mar 03, 2021

Up next on Psyda Podcast is Dr Boris Nikolai Konrad. He is 8x team world champion, holds 4x Guinness Book World records, holds a Ph.D. in Neuroscience from Max Planck Institute of Psychiatry and Ludwig-Maximilians-Universität München, has degrees in physics and computer sciences, and trains people in techniques like Method of Loci, Mnemonics and Mind Palace (explained in Sherlock & Netflix series 'Memory Games'). He is a TEDx speaker, appears on media regularly including Germany's super popular program 'The Brain', and shows in Chinese, Russian, Italian and Dutch Media. He is featured in BBC News, NPR, CNN, Psychology Today and DW among others. He is the author of the best-selling book 'It's all in your head' currently being translated to English. He currently works at the world-renowned center for Donders Institute for Brain, Cognition, and Behaviour in Nijmegen (Netherlands) exploring the depths of the human brain. Join us as we explore the the human brain.

Infonomics with Doug Laney Feb 24, 2021

Probably one of the richest conversations I have had from a business perspective on Data Science, Infonomics, AI and Psychology of Patterns.
Here are some of the key takeaways:
1. The Wall Street Journal quoted Doug Laney saying ‘ Its flummoxing that companies have better accounting for their office furniture than their information assets’.
2. United and American Airline’s third party valuation based on collateral customer loyalty data is 3-4 times more than their actual market cap.
3. ‘Kushim’ from Yuval Noah Harari’s book 'Sapiens', the first known human being was an accountant, which tells a lot about the importance of information.
4. Future disruptive technologies according to Gartner are DNA storage, Quantum Computing and Carbon Nanotubes.
5. Doug’s been a competitive tennis player and is now exploring pickle ball.
Join our slack for more: https://launchpass.com/psyda

Psychometrics with Dr Okan Bulut Feb 17, 2021

On Tuesday, February 16th,2021 I will be talking to one of the leading psychometricians Dr. Okan Bulut. He is a professor of Educational Psychology at the University of Alberta and has worked at premier institutions developing assessments at Pearson, PluralSight, and the American Institute of Research. He is the author of the book 'Handbook of educational measurement and psychometrics using R.'

ML at Amazon with Greg Coquillo Feb 07, 2021

It was a true blast talking to Greg Coquillo. It is always a pleasure talking to such a good sport and insightful leader and he truly is Amazon material. Here are some of the highlights of our conversation:

1. The trick to coming out of college debt-free is to go to a community college first.

2. Gamestop has really changed the world for the better.

3. Greg would invent the internet if given a chance to time travel back.

4. Bitcoin is still a big no for Greg Coquillo’s investments

5. Amazon is here to stay despite Alibaba, Azure, and Google Cloud.

6. Japanese Wasabi sauce is the real thing. What we have is a watered-down version of that.

7. Sophie the robot still leaves much to desire for Greg. Step up the game Sophie.

Artificial Intelligence with Luis Serrano Feb 03, 2021

On February 3rd, I talked to Zapata scientist, Dr. Luis Serrano, the author of the best-selling ‘Grokking Machine Learning’ book published by Manning Publications Co. He has worked at Google as a machine learning engineer, at Udacity as the head of AI content, and at Apple as a lead AI educator. He runs a popular YouTube channel where he explains machine learning in layperson terms.

PLSpredict with Dr Souyma Ray Feb 03, 2021

Dr Soumya Ray is an Associate Professor, ISS, NTHU Director of Center for Service Innovation and Analytics in Taiwan.

PLS Structural Equation Modeling with Marko Sarstedt Feb 03, 2021

Marko Sarstedt is a chaired professor of marketing at the Otto-von-Guericke-University Magdeburg (Germany) and an adjunct professor at Monash University Malaysia. His main research interest is the advancement of research methods to further the understanding of consumer behavior. His research has been published in Nature Human Behavior, Journal of Marketing Research, Journal of the Academy of Marketing Science, Multivariate Behavioral Research, Organizational Research Methods, MIS Quarterly etc

Tensorflow JS with Jason Mayes Feb 02, 2021

Jason Mayes is a developer advocate at Google. He defines himself as a Hybrid Web Developer, Programmer, Technical Consultant, and Analyst, with a creative twist who loves to innovate, inspire, and simplify solutions

Emotional Psychology and HCI with Hakan Silfvernagel Feb 02, 2021

What if AI could measure human emotions also and is sensitive to how we feel? How do we measure pain? Is data science able to predict human emotions with reasonable accuracy? Find out by joining my podcast with the world's leading AI in emotional psychology expert Hakan Silfvernagel from Miles AS Norway. Håkan holds a Master of Science degree in Electrical Engineering and in addition, he holds a Master’s degree in Leadership and Organizational behavior.

NLP with Vance Stevens Feb 02, 2021

Tools like Grammarly, Ref n Write and Scholarcy are all outcome of Natural Language Processing and helps in writing academic papers that are of high quality. On December 6th, i'll be talking to expert in computer assisted language teaching Vance Stevens. Vance has trained pilots in UAE and has spent 40 years working around the world teaching English using cutting edge technologies as SecondLife. We will be discussing issues like academic writing and modern day tools for intelligent research.

Neural Networks with Josh Starmer Feb 02, 2021

This weekend I am talking with the CEO of StatQuest and YouTube celebrity, Dr. Josh Stramer from StatQuest. Dr. Josh Starmer has been an assistant professor at Chapel Hill, University of North Carolina and his fame comes from his visualization of statistical concepts. He has recently launched his Neural Networks series which has immensely become popular. We'll be talking about his neural network series.

Personality Psychology with Dr Alex Christensen Feb 02, 2021

On January 15th, 2021 I talked to my colleague and one of the most prolific researchers in personality psychology Dr. Alex Christensen about how the understanding self can be a window into self-growth. Alex is also creating, maintaining, and co-authoring several R packages: EGAnet, NetworkToolbox, SemNeT, SemNetCleaner, and SemNetDictionaires.

Data Science with Giovanna & Thom Feb 01, 2021

Dr Thom Ives, Ph.D. is the founder of UL, and Giovanna-Reggina Galleno-Malaga is a community builder in Data Science and Machine learning domains.

Extreme Medicine with Mark Hannaford Feb 01, 2021

Mark Hannaford is an honorary associate professor awarded for his work in Extreme Medicine by the University of Exeter Medical School and is the founding director of World Extreme Medicine, an International Fellow of the prestigious New York-based Explorers Club, and Fellow of both the Royal Geographical Society and the Royal Society of Arts. He founded an Msc Program in Extreme Medicine at Exeter University. The UK.

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