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    Technology

    Adventures in Machine Learning

    Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning–6102041/support.

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    Copyright: © 2022 Intentional Excellence Productions, LLC

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    Latest Episodes:
    Complex ML Models with Data Scientist Fernando Lopez - ML 089 Sep 29, 2022
    Show notes

    Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring. Michael and Ben also deep dive into various related ML models and AI topics.
    In this episode…

    • Core software engineering skills
    • Practice data algorithms and structures
    • Working towards production-grade ML
    • Data engineering and data structures
    • Using state-of-the-art models
    • Applying labels to data
    • The AI revolution
    • Eliminating bias and unweighted data set
    • Unconscious and conscious exercises
    • Complex models with structure

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • How to Package and Distribute Machine Learning Models with MLFlow - KDnuggets
    • Twitter: @ferneutronn

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Distributed Time Series in Machine Learning - ML 088 Sep 22, 2022
    Show notes

    Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study to anchor the understanding with these models.
    In this episode…

    • Understanding use case
    • ML flow models and events
    • KPI forecasts
    • Metadata outputs
    • Prediction intervals for hotdog data
    • Automated time series forecasts
    • Libraries required for optimization
    • Practical tips managing the data and
    • Setting up the data for consumption
    • Managing black swan events

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Time Series Models in Machine Learning - ML 087 Sep 15, 2022
    Show notes

    Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples of various models and the processes for optimal application in your ML workflows.
    In this episode…

    • Ben’s time series model for sales forecasting
    • The flat line model
    • Examples using time series models
    • Understanding your data
    • Lag functions and moving averages
    • Signal processing in models
    • Manually adding change points
    • Deep learning in time series models
    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086 Sep 08, 2022
    Show notes

    Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text. Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI. The panel also discusses various strategies related to learning and soft skills needed for success within the industry.
    In this episode…

    • Optical character recognition (OCR) defined
    • Multiprocessing vs. multithreading
    • I/O bound tasks vs. CPU tasks
    • How to handle a retry in Python
    • Strategies for employing on small hardware
    • Template matching and preprocessing
    • Gray scaling integrations
    • How to learn and get started within the industry
    • Reducing the scope and industry soft skills

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • LinkedIn: Ahmad Anis
    • Twitter: @AhmadMustafaAn1

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085 Aug 25, 2022
    Show notes

    Award winning data evangelist, AI strategist, and innovation leader Vidhi Chugh joins the show today to share her perspective on various topics, including data quality, AI innovation strategies, responsible AI, model intelligence, and much more!
    In this episode…

    • The importance of innovation
    • Glorified failure projects
    • Responsible AI
    • Data driven companies and quality scores
    • Tools for autogenerated business insights
    • Model intelligence
    • Unspoken assumptions
    • Understanding the larger picture

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • Benefits Of Becoming A Data-First Enterprise - KDnuggets
    • Top 3 Challenges for Data & Analytics Leaders - KDnuggets
    • Democratizing Data in Large Enterprises
    • LinkedIn: Vidhi Chugh

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Machine Learning on Mobile Devices and More with Aliaksei Mikhailiuk - ML 084 Aug 18, 2022
    Show notes

    Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk, ML/AI engineer at Snapchat as they discuss everything AI computer graphics to techniques on striking the efficiency-accuracy trade-off for deep neural networks on constrained devices.
    In this episode…

    • From academics to machine learning
    • Machine learning on mobile devices
    • Cloud computing
    • Applying AI to computer graphics
    • Being multi-disciplinary
    • User experience and latency
    • Model complexity issues

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • Deep Video Inpainting. Removing unwanted objects from videos… | by Aliaksei Mikhailiuk | Towards Data Science
    • On the edge — deploying deep learning applications on mobile | by Aliaksei Mikhailiuk | Jul, 2022 | Towards Data Science
    • Seven Questions to Ask before Introducing AI into Your Project | by Aliaksei Mikhailiuk | Towards Data Science
    • Aliaksei Mikhailiuk
    • Aliaksei Mikhailiuk – Medium
    • LinkedIn: Aliaksei Mikhailiuk
    • Twitter: @mikhailiuka

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083 Aug 04, 2022
    Show notes

    Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents. Today on the show, Michael interviews Adam to share his various strategies and approaches on how to become a data scientist or make advanced changes in the data science career path.
    In this episode…

    • The “distributed portfolio approach” vs. professional portfolio
    • Leveraging each platforms strengths
    • Creating a personal brand
    • Find others to network and connect with
    • Create a Rosetta stone in your programming language
    • Pandas-profiling to contribute to the community
    • Working with a career coach
    • Asking the right interview questions

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • Data Science Projects Accepting Community Contributions | by Adam Ross Nelson | May, 2022 | Towards Data Science
    • Adam Ross Nelson
    • LinkedIn: Adam Ross Nelson
    • Twitter: @AdamRossNelson

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Bioinformatics and Programming with Ken Youens-Clark - ML 082 Jul 29, 2022
    Show notes

    Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering.
    In this episode…

    • Writing tests and type annotations
    • Project development lifecycle
    • Grading programmers with pass / fail
    • Soft skills within the industry
    • Bioinformatics and computer science
    • Prototyping and improving efficiencies
    Connect with Ken Youens-Clark via email and LinkedIn
    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • Mastering Python for Bioinformatics
    • Command-Line Rust
    • GitHub - kyclark/command-line-rust
    • LinkedIn: Ken Youens-Clark
    • GitHub: kyclark

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    Building AI Data Responsibly with Edouard d’Archimbaud - ML 081 Jul 21, 2022
    Show notes

    Data excellence is the foundation of better AI. Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale. Enjoy this engaging conversation about building AI responsibly on a foundation of good data.
    In this episode…

    1. What is cautious AI and trustworthy AI?
    2. Defining clean data vs. diverse data
    3. Image classification
    4. How was Kili founded?
    5. How does the labeler and model work together?
    6. Algorithms and model structures
    7. Scaling with large data sets

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • Kili Technology
    • Blog posts
    • LinkedIn: Edouard d'Archimbaud

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

    From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080 Jul 14, 2022
    Show notes

    Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering. Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all developers. Specific topics include taking ownership of your work, being comfortable making mistakes, and how to stretch yourself every day.
    In this episode…

    1. Taking ownership
    2. Being comfortable taking risks and making mistakes
    3. From back end to front end development
    4. Self taught and self paced
    5. Dunning-Kruger effect
    6. Continually growing and learning

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Links
    • The Most Important Thing I Did to Become a Senior Developer
    • Jesse Langford
    • LinkedIn: Jesse Langford

    Advertising Inquiries: https://redcircle.com/brands
    Privacy & Opt-Out: https://redcircle.com/privacy
    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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