Episodes
Hollywood has officially fallen for the drama of tech startups! Tune in to hear Jon Krohn review the small-screen adaptations of WeWork (WeCrashed), Uber (Super Pumped), and Theranos (The Dropout). Additional materials: www.superdatascience.com/576
Published 05/20/22
In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.' In this episode you will learn: • What hardware architects do [10:15] • How ML can optimize hardware speed [ 13:19] • Magnus’s Deep Learning Book [21:14] • Is understanding how ML models work important? [36:16] • Algorithms inspired by...
Published 05/17/22
Published 05/17/22
In this episode, Jon shares how the right music can power your productivity. It's no secret that he's a big fan of 'deep work,' but this week, he opens up about the artists, sites, and playlists that propel his productivity to new levels. Additional materials: www.superdatascience.com/574
Published 05/13/22
In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it's like being the CEO of an exciting, early-stage tech start-up. In this episode you will learn: • How Linea reduces ML model deployment down to a couple of lines of Python code [5:14] • Linea use cases [11:30] • How DAGs can 10x production workflow efficiency [22:12] • ML model graphlets and...
Published 05/10/22
In this episode, Jon shares his habit of blocking out two hours in his mornings that are free from email and social media distractions. Tune in to learn how this habit helps him deeply focus on his most delightful tasks of the day. Additional materials: www.superdatascience.com/572
Published 05/06/22
Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform. In this episode you will learn: • The inspiration behind Einblick [2:45] • Einblick's progressive approximation engine [6:43] • How no-code tools impact productivity [17:18] • The critical steps to become more data-driven as an organization...
Published 05/03/22
In this episode, Jon is back with another A.I. model breakthrough! He updates listeners on OpenAI's outstanding DALL-E 2 model. The new natural language processing model churns out staggering visual examples of whatever text your mind can dream up. Additional materials: www.superdatascience.com/570
Published 04/29/22
Research Scientist at Meta AI, Dr. Noam Brown, joins Jon Krohn to discuss his award-winning no-limit poker-playing algorithms and the real-world implications of his game-playing A.I. breakthroughs. In this episode you will learn: • What Meta A.I. is and how it fits into Meta, the company [3:01] • Noam's award-winning no-limit poker-playing algorithms, Libratus and Pluribus algorithms. [4:33] • What game theory is and how does Noam integrate it into his models? [8:45] • The real-world...
Published 04/26/22
In this episode, Jon updates listeners on one of the industry's biggest breakthroughs to date –Google's new natural language processing model, PaLM. The key innovation with PaLM is scaling up Google's Pathways modeling approach to half a trillion parameters — many-fold more parameters than had previously been trained using this approach. Additional materials: www.superdatascience.com/568
Published 04/22/22
In this episode, the MIT Press Director and Publisher, Dr. Amy Brand, joins Jon Krohn to discuss open-access publishing in data science and how to address the inequalities that exist for women and minorities in STEM. In this episode you will learn: • What it’s like to run the prestigious MIT Press [4:34] • How open access makes scholarly work more impactful [6:34] • How publishing outstanding STEM books for broader audiences, including for children, can help address STEM biases [19:28] •...
Published 04/19/22
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
Published 04/15/22
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...
Published 04/12/22
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
Published 04/08/22
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...
Published 04/05/22
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
Published 04/01/22
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...
Published 03/29/22
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
Published 03/25/22
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] •...
Published 03/22/22
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
Published 03/18/22
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...
Published 03/15/22
Discover Jon’s extensive library of machine learning content and learn why Jon's Machine Learning House forms the knowledge structure of an outstanding data scientist or ML engineer. Additional materials: www.superdatascience.com/556
Published 03/11/22
Data scientist and Youtuber Ken Jee joins Jon Krohn for a deep dive into the world of sports analytics and brings us behind the makings of his large, online data science community. In this episode you will learn: • The inspiration behind Ken’s YouTube videos [18:03] • Ken’s four steps for getting started in data science [24:18] • How sports analytics is transforming sports like golf [33:32] • Ken’s favorite tools for software scripting as well as for production code development [41:10] • How...
Published 03/08/22
In this episode, Jon shares where you can find his extensive deep learning video content and courses. Tune in to learn more about his deep learning curriculum and where you can learn for free. Additional materials: www.superdatascience.com/554
Published 03/04/22
In this episode, Dr. Josh Starmer, the creative, musical genius behind the wildly popular YouTube channel StatQuest joins the podcast to discuss statistics, learning and communication secrets, and how he grew his YouTube channel to over 650,000 subscribers. In this episode you will learn: • The inspiration behind Josh’s YouTube channel [18:39] • Josh's simple approach to learning something new [34:25] • Josh's secret tool for creating YouTube videos with over a million views [51:01] • The...
Published 03/01/22