500 episodes
Super Data Science Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success
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4.7 • 31 Ratings
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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.
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664: MIT Study: ChatGPT Dramatically Increases Productivity
Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this episode, Jon Krohn delves into a new study from MIT about the tool’s potential productivity for white-collar tasks.
Additional materials: www.superdatascience.com/664
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. -
663: Astonishing CICERO negotiates and builds trust with humans using natural language
NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Alexander H. Miller about his work in building a machine that can outsmart humans in the game of Diplomacy by engineering powers of persuasion and collusion to its own advantage.
This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick(linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• Training a natural language model to interact with Diplomacy players [05:07]
• Processing speeds for a Diplomacy bot [29:32]
• Using transformer architectures [37:25]
• How Diplomacy AI actually works [43:25]
• CICERO's potential real-world applications [55:28]
• How to R&D an AI project [59:27]
• How to become an AI Research Manager [1:06:12]
Additional materials: www.superdatascience.com/663 -
662: The Most Popular SuperDataScience Podcast Episodes of 2022
Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality, AI breakthroughs and data storytelling, these were your most popular episodes of the year gone by.
Additional materials: www.superdatascience.com/662
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. -
661: Designing Machine Learning Systems
Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!
This episode is brought to you by Pathway, the reactive data processing framework (https://www.pathway.com/?from=superdatascience), and by epic LinkedIn Learning instructor Keith McCormick(linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• Why Chip wrote 'Designing Machine Learning Systems' [08:58]
• How Chip ended up teaching at Stanford [13:18]
• About Chip's book 'Designing Machine Learning Systems' [21:12]
• What makes ML feel like magic [30:53]
• How to align business intent, context, and metrics with ML [37:55]
• The lessons Chip learned about training data [42:03]
• Chip's secrets to engineering good features [53:19]
• How Chip optimizes her productivity [1:07:48]
Additional materials: www.superdatascience.com/661 -
660: Five Ways to Use ChatGPT for Data Science
ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps less explored, ways can we use the tool? In this episode, Jon Krohn outlines five critical ways that ChatGPT can augment a data scientist’s work. From generating code to acting as a translation tool for programming languages, listen in to hear why ChatGPT could become a vital part of every data scientist’s toolkit.
Additional materials: www.superdatascience.com/660
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. -
659: Open-Source Tools for Natural Language Processing
NLP practitioners: this episode is for you. From the awareness of linguistic elements and annotation to getting the necessary people in the room, Vincent Warmerdam presents to Jon Krohn a recipe for a successful project and the open-source NLP tools to get there.
This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (https://linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• How Vincent came to work with De Speld [08:57]
• Vincent’s role at Explosion [18:59]
• How users can apply spaCy [21:46]
• Prodigy: Annotate training data more efficiently with scripts [26:28]
• How to manage “skill anxiety” with Calmcode [32:32]
• How Vincent fixed bad labels [42:47]
• The value of understanding linguistics for NLP [54:42]
• How to constrain artificial stupidity [1:02:38]
Additional materials: www.superdatascience.com/659
Customer Reviews
What I’ve been looking for!
I’m currently off on maternity leave and I’ve been looking for a datascience podcast to help me stay up to date and this has been fantastic. Not only are the topics interesting but the way they are explained has made it easy for me to follow along.
I also like the daily habits and it’s given me a good incentive to start some good habits myself.
Full of valuable insights into the industry and practical hints
Call it a novelty effect or something else but in just one day going through around 5 shorter-to-longer episodes I picked so much from them – motivation, valuable practical insights from the pro’s working in the field, some answers to pending questions, reasons to continue with my newly picked up adventure. Kirill is a good interviewer who can lead dynamically, ask interesting questions and actually let the interviewee talk (and yes, this is something that some other hosts are lacking).
Excellent job! Да здравствует Кирилл!
👍🏻👍🏻👍🏻
Fantastic show! Keep up 😊