Super Data Science: ML & AI Podcast with Jon Krohn - TopPodcast.com

View Top 200 Chart

Back to Rankings Page

Super Data Science: ML & AI Podcast with Jon Krohn — Business
Super Data Science: ML & AI Podcast with Jon Krohn

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there’s an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you’re curious about getting started in a data career or you’re a deep technical expert, whether you’d like to understand what A.I. is or you’d like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Copyright: © 2024 Super Data Science: ML & AI Podcast with Jon Krohn

Latest Episodes:

566: The Best Time to Plant a Tree Apr 15, 2022

Show notes

In this episode, Jon reflects on the Chinese proverb: "The best time to plant a tree was 20 years ago. The second best time is now." He also challenges listeners to reflect on their long-term goals that have gone unfulfilled.

Additional materials: www.superdatascience.com/566

565: AGI: The Apocalypse Machine Apr 12, 2022

Show notes

In this episode, Jeremie Harris dives into the stirring topic of AI Safety and the existential risks that Artificial General Intelligence poses to humankind.

In this episode you will learn:

Why mentorship is crucial in a data science career development [15:45]
Canadian vs American start-up ecosystems [24:18]
What is Artificial General Intelligence (AGI)? [38:50]
How Artificial Superintelligence could destroy the world [1:04:00]
How AGI could prove to be a panacea for humankind and life on the planet. [1:27:31]
How to become an AI safety expert [1:30:07]
Jeremie's day-to-day work life at Mercurius [1:35:39]

Additional materials: www.superdatascience.com/565

564: Clem Delangue on Hugging Face and Transformers Apr 08, 2022

Show notes

In this episode, Jon speaks with the CEO of Hugging Face, Clem Delangue, about open-source machine learning and transformer architectures, while attending the ScaleUp:AI Conference in New York.

Additional materials: www.superdatascience.com/564

563: How to Rock at Data Science — with Tina Huang Apr 05, 2022

Show notes

In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch.

In this episode you will learn:

The key areas to focus on when getting started in data science [6:01]
Tina’s five steps to consistently doing anything [11:55]
Tina's day-to-day life as a data scientist at one of the world’s largest tech companies [20:02]
How Tina's computer science background helps her work [26:20]
Traditional banking culture vs big tech [32:12]
How Tina's background in pharmacology impacts her work in data science [36:15]
The software languages that Tina uses daily in her work [45:30]
How Tina’s SQL course practically prepares you for data science interviews [47:24]

Additional materials: www.superdatascience.com/563

562: Daily Habit #8: Math or Computer Science Exercise Apr 01, 2022

Show notes

In this episode, Jon shares his daily technical exercise, which is part of an extensive habit tracking system that allows him to achieve more, create more structure within his day, and cut out bad habits. By completing mathematics, computer science, or programming exercise daily, Jon is able to hone his technical skills in a limitlessly broad field and open new professional opportunities in the long run.

Additional materials: www.superdatascience.com/562

561: Engineering Data APIs Mar 29, 2022

Show notes

In this episode, Ribbon Health CTO Nate Fox joins us to discuss the ins and outs of APIs. Tune in to hear him share how he and his team build out APIs from scratch; how they ensure the uptime and reliability of APIs and how they leverage machine learning to improve the quality of healthcare delivery and maximize their social impact.

In this episode you will learn:

What are APIs? [13:20]
How Ribbon Health’s data API leverages ML models to improve the quality of healthcare delivery [16:08]
How to design a data API from scratch [20:00]
How to ensure the uptime and reliability of APIs [25:28]
How Ribbon uses knowledge graphs, manually labeled data samples, and an XGBoost model with hundreds of inputs to assign a confidence score [27:14]
Nate’s favorite tool for easily scaling up the impact of data science [37:40]
What is Nate’s day-to-day like? [34:34]
The qualities Nate looks for when hiring data scientists [39:50]
How scientists and engineers can make a big social impact in health technology [42:50]

Additional materials: www.superdatascience.com/561

560: Daily Habit #7: Read Two Pages Mar 25, 2022

Show notes

In this episode, Jon shares his daily habit of reading two pages and explains how it has transformed his productivity.

Additional materials: www.superdatascience.com/560

559: GPT-3 for Natural Language Processing Mar 22, 2022

Show notes

Natural language processing expert and PhD student Melanie Subbiah sits down with Jon Krohn to discuss GPT-3, its strengths and weaknesses, and the future of NLP.

In this episode you will learn:

What is GPT-3? [6:24]
The strengths and weaknesses of GPT-3 [14:38]
What is autoregression? [18:03]
GPT-3's new fine-tuning abilities [20:02]
Bias issues with GPT-3 [22:47]
The future of natural language processing models [27:54]
How Melanie ended up working at OpenAI [38:13]
Melanie’s self-study process [42:19]
Melanie's work on OpenAI API [45:45]
How to address the climate change and bias issues that cloud discussions of large natural language models [49:40]
Why Melanie chose to do a PhD at Columbia University [1:01:17]
The machine learning tools Melanie’s most excited about [1:08:09]

Additional materials: www.superdatascience.com/559

558: Jon's Answers to Questions on Machine Learning Mar 18, 2022

Show notes

In this episode, Jon shares the key topics he recently discussed with the Open Data Science Conference. From the approach behind his extensive machine learning and deep learning content library to revealing the key tools and software he uses daily, get to know Jon and his process a little better.

Additional materials: www.superdatascience.com/558

557: Effective Pandas Mar 15, 2022

Show notes

Pandas expert Matt Harrison sits down with Jon Krohn to discuss tips, tricks and best practices for Pandas learning and mastery.

In this episode you will learn:

Pros and cons of self-publishing and working with a publisher [5:05]
Matt's six tips for using Pandas [17:13]
The best way for corporate teams to level up their skills [40:04]
How to learn anything effectively [47:14]
Matt’s tricks for staying motivated [50:00]
Matt’s recommendations for using Git and the Unix command line [1:00:14]
Matt’s recommended software libraries for working with tabular data [1:19:45]

Additional materials: www.superdatascience.com/557

Related Podcasts