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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:

576: Tech Startup Dramas May 20, 2022

Show notes

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

575: Optimizing Computer Hardware with Deep Learning May 17, 2022

Show notes

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 biological evolution [41:25]
How artificial general intelligence won’t be obtained by increasing model parameters alone [51:24]
Why there will always be a place for CNNs and RNNs [54:51]
How people can "transition" realistically into ML [1:09:15]

Additional materials: www.superdatascience.com/575

574: Music for Deep Work May 13, 2022

Show notes

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

573: Automating ML Model Deployment May 10, 2022

Show notes

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 reducing wasted computation [24:14]
What future Doris envisions for autoML [35:23]
Doris’s day-to-day life as a CEO of an early-stage start-up [42:43]
What Doris looks for in the engineers and data scientists that she hires [52:21]
The future of Data Science and how to prepare best for it [53:58]

Additional materials: www.superdatascience.com/573

572: Daily Habit #9: Avoiding Messages Until a Set Time Each Day May 06, 2022

Show notes

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

571: Collaborative, No-Code Machine Learning May 03, 2022

Show notes

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 [24:30]
How research universities like MIT support high-risk, long-term research [38:37]
How ML applied to databases enables them to be faster and more efficient [42:03]
How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]

Additional materials: www.superdatascience.com/571

570: DALL-E 2: Stunning Photorealism from Any Text Prompt Apr 29, 2022

Show notes

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

569: A.I. For Crushing Humans at Poker and Board Games Apr 26, 2022

Show notes

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 implications of Noam’s game-playing A.I. breakthroughs [25:24]
Why Noam elected to become a researcher at a big tech firm instead of in academia [27:06]
The main barriers to getting AI game theory techniques beyond games to self-driving cars [30:16]
Recommendations for people who want to break into poker AI [37:45]

Additional materials: www.superdatascience.com/569

568: PaLM: Google's Breakthrough Natural Language Model Apr 22, 2022

Show notes

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

567: Open-Access Publishing Apr 19, 2022

Show notes

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]
Amy's award-winning documentary Picture A Scientist [25:28]
What it's like to executive produce a documentary [37:24]
What can be done to change STEM to make it more welcoming to minorities [48:44]
The best open-source model going forward [58:26]
What fascinates Amy about natural language processing [1:01:30]
How author metadata in standardized taxonomies can help authors receive the credit they deserve [1:04:50]

Additional materials: www.superdatascience.com/567

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