1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko
For this episode #1001 special, the tables are turned: SuperDataScience founder Kirill Eremenko takes the host’s chair and Jon Krohn is the guest. They trace Jon Krohn’s path from an Oxford neuroscience PhD to a New York hedge fund to founding the AI consulting firm Y Carrot, why he regrets leaving academia and how tools like Claude Code erased his hard-won technical moat and why that makes skilled engineers more valuable than ever. Along the way: whether AI is a bubble, Jevons paradox and the data-center boom, the RICE framework for choosing AI projects, the single biggest reason AI projects fail and how a well-built AI agent could give anyone “Christopher Nolan–like” focus.
Additional materials: https://www.superdatascience.com/1001
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(03:42) From an Oxford neuroscience PhD to AI consulting
(17:25) Defining AGI and why consciousness isn’t required
(30:39) Are we in an AI bubble? Why we benefit either way
(46:32) Jevons paradox: why cheaper AI means more data centers
(01:08:31) The RICE framework for prioritizing AI projects
(01:15:08) The number-one reason AI projects fail in production
(01:31:50) AI, attention, and protecting your wellbeing
1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests
For this landmark 1,000th episode and the show’s 10-year anniversary, host Jon Krohn is joined by SuperDataScience founder Kirill Eremenko, who hosted the podcast for its first 400-plus episodes before handing over the reins. In a first for the show, the episode was recorded live with the audience invited to join on air, alongside surprise appearances from the team, longtime guests, and even Jon’s family. Together, Jon Krohn and Kirill look back on a decade of the podcast and field listener questions on AI’s biggest opportunities, the build-versus-buy dilemma, how to break into the field today, and how to stay grounded amid the relentless pace of AI.
Additional materials: www.superdatascience.com/1000
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko
Founder of SuperDataScience, Kirill Eremenko, talks to Jon Krohn about how he found the best tools and approaches to help launch his 8-week AI engineering bootcamp. He breaks down the topics participants cover each week, and he also shares his tips with listeners who might want to start their own tech bootcamp or sign up for SuperDataScience’s September 2025 cohort.
This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference
Additional materials: www.superdatascience.com/917
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(10:58) Weeks 1-4 of the SuperDataScience bootcamp
(37:52) How to use AI to drive the bottom line in business
(47:50) Weeks 5-8 of the SuperDataScience bootcamp
(54:50) How to convert LLMs to agents
(1:09:33) Jon’s feedback on the SuperDataSciencebootcamp
899: Landing $200k+ AI Roles: Real Cases from the SuperDataScience Community, with Kirill Eremenko
Data science skills, a data science bootcamp, and why Python and SQL still reign supreme: In this episode, Kirill Eremenko returns to the podcast to speak to Jon Krohn about SuperDataScience subscriber success stories, where to focus in a field that is evolving incredibly quickly, and why in-person working and networking might give you the edge over other candidates in landing a top AI role.
Additional materials: www.superdatascience.com/899
This episode is brought to you by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA.
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(04:35) Stories from five SuperDataScience subscribers
(27:32) How to secure a career in a fast-paced industry
(44:19) How to stand out against huge competition in data science
(1:01:40) The importance of communication in data science
(1:16:41) Where to focus your skills in AI engineering
853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves
Kirill Eremenko and Hadelin de Ponteves AI educators, whose courses have been taken by over 3 Million students, sit down with Jon Krohn to talk about how foundation models are transforming businesses. From real-world examples to clever customization techniques and powerful AWS tools, they cover it all.
bravotech.ai - Partner with Kirill & Hadelin for GenAI implementation and training in your business. Mention the “SDS Podcast” in your inquiry to start with 3 complimentary hours of consulting.
This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(07:00) What are foundation models?
(15:45) Overview of the foundation model lifecycle: 8 main steps.
(29:11) Criteria for selecting the right foundation model for business use.
(41:35) Exploring methods to customize foundation models.
(53:04) Techniques to modify foundation models during deployment or inference.
(01:11:00) Introduction to AWS generative AI tools like Amazon Q, Bedrock, and SageMaker.
Additional materials: www.superdatascience.com/853
819: PyTorch: From Zero to Hero, with Luka Anicin
SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.
This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
• About the PyTorch library [03:29]
• Why PyTorch became so popular [25:24]
• How to increase accuracy and efficiency in PyTorch [31:49]
• How to utilize transfer learning [35:44]
• Why real-world projects are essential to data scientists [41:10]
• About Datablooz [46:49]
Additional materials: www.superdatascience.com/819
786: The Six Keys to Data Scientists' Success, with Kirill Eremenko
Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.
Additional materials: www.superdatascience.com/786
Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.
This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• All about decision trees [09:17]
• All about ensemble models [21:43]
• All about AdaBoost [36:47]
• All about gradient boosting [45:52]
• Gradient boosting for classification problems [59:54]
• Advantages of XGBoost [1:03:51]
• LightGBM [1:17:06]
• CatBoost [1:32:07]
Additional materials: www.superdatascience.com/771
759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko
Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!
This episode is brought to you by Ready Tensor, where innovation meets reproducibility, by Oracle NetSuite business software, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• How decoder-only transformers work [15:51]
• How cross-attention works in transformers [41:05]
• How encoders and decoders work together (an example) [52:46]
• How encoder-only architectures excel at understanding natural language [1:20:34]
• The importance of masking during self-attention [1:27:08]
Additional materials: www.superdatascience.com/759
747: Technical Intro to Transformers and LLMs, with Kirill Eremenko
Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.
This episode is brought to you by Intel and HPE Ezmeral Software Solutions, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
In this episode you will learn:
• Supply and demand in AI recruitment [08:30]
• Kirill and Hadelin's new course on LLMs, “Large Language Models (LLMs), Transformers & GPT A-Z” [15:37]
• The learning difficulty in understanding LLMs [19:46]
• The basics of LLMs [22:00]
• The five building blocks of transformer architecture [36:29]
- 1: Input embedding [44:10]
- 2: Positional encoding [50:46]
- 3: Attention mechanism [54:04]
- 4: Feedforward neural network [1:16:17]
- 5: Linear transformation and softmax [1:19:16]
• Inference vs training time [1:29:12]
• Why transformers are so powerful [1:49:22]
Additional materials: www.superdatascience.com/747
671: Cloud Machine Learning
Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career.
This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• About CloudWolf [07:04]
• Why learning the cloud is important for data scientists [09:12]
• Is learning cloud computing complex? [22:30]
• Essential AWS services [28:31]
• Database options on AWS [33:47]
• How to run analytics on AWS [40:58]
• Why an AWS certification is so helpful [56:35]
Additional materials: www.superdatascience.com/671
649: Introduction to Machine Learning
Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.
In this episode you will learn:
• Kirill and Hadelin's new course [17:34]
• Supervised vs unsupervised learning [26:23]
• False positives and false negatives [31:21]
• Logistic regression [43:00]
• Holding out a set of test data [46:39]
• Feature scaling [52:45]
• The Adjusted R-Squared metric [59:44]
• The five assumptions of linear regression [1:05:12]
• The Elbow Method [1:11:41]
Additional materials: www.superdatascience.com/649
Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
505: From Data Science to Cinema
Hadelin de Ponteves joins us to discuss his latest educational work and how his skills as a data science educator helped him start his career in acting.
In this episode you will learn:
What has Hadelin been up to? [4:27]
Hadelin’s cinema career and data science crossover [16:02]
Sleep for productivity [27:27]
How did Hadelin decide to undertake this? [32:26]
Bollywood vs Hollywood [37:26]
Additional materials: www.superdatascience.com/505
471: 99 Days to Your First Data Science Job
Kirill Eremenko returns to the SDS podcast as a guest to debunk common myths you may believe about getting a data science job.
In this episode you will learn:
What has Kirill been up to? [3:48]
The genesis of the 99-days challenge [5:27]
5 myths about pursuing a data science career [15:49]
First data science jobs [1:00:53]
5 components for success [1:08:19]
Additional materials: www.superdatascience.com/471
429: 2020's Biggest Data Science Breakthroughs
Jon Krohn joins us for a year-end episode about 2020’s biggest data science breakthroughs and for a big podcast announcement for 2021.
In this episode you will learn:
Global warming [4:37]
Our big podcast announcement [6:57]
Who is Jon Krohn? [12:14]
Top 3 technological breakthroughs of the year [21:28]
AlphaFold [23:33]• GPUs [45:51]
GPT-3 [1:00:26]
Wrap up [1:26:40]
Additional materials: www.superdatascience.com/429
365: Deep Learning Models For Recruitment
Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning.
In this episode you will learn:
Coronavirus update in New York City [2:36]
What brought Jon to New York? [5:38]
Data science and coronavirus [12:50]
Jon’s work at untapt [18:09]
Techniques used to design models in untapt [22:02]
untapt’s approach to explainability and bias [30:19]
Jon’s other contributions to data science [38:10]
Jon’s book and visual teaching styles [44:32]
LinkedIn Q&A [52:05]
Jon’s recommendation for becoming best at deep learning [1:13:09]
Additional materials: www.superdatascience.com/365
327: Data Science Trends for 2020
Hadelin and I outlined our top 5 trends in Data Science for 2020. We discussed why they’re hot topics and how companies can utilize them to drive profit and efficiency in the coming year.
In this episode you will learn:
The decade in review [1:45]
A decade preview [5:20]
2020 trends webinar [7:30]
Robotic process automation [9:00]
Natural language processing [18:28]
Reinforcement learning [26:35]
Edge computing [37:25]
Open source AI frameworks [52:02]
Additional materials: www.superdatascience.com/327
295: A Deep Conversation About Tech & Life
In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/295
223: Data Science Trends for 2019
In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/223
139: The Rise of Blockchain: A Disruptive Super-Technology Much More Than Bitcoin
In this episode of the SuperDataScience Podcast, I chat with the Artificial Intelligence Entrepreneur, the one and only, Hadelin de Ponteves. You will hear why learning Blockchain makes perfect sense in this generation right now, the no. 1 reason why Blockchain is so disruptive, and learn valuable insights on real life and innovative applications of Blockchain technology.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/139
119: Data Science Trends for 2018
In this episode of the SuperDataScience Podcast, we are bringing you into the future as Hadelin de Ponteves and I discuss the key data science trends to look out for in 2018 including those we are most excited about and why. We will discuss Blockchain and AI as a powerful disruptive combination, talk about how Deep Learning technology is becoming mainstream, mention the different upskilling executives in data, and discuss the importance of data strategy.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/119
105: DataScienceGO’s Discussion Panel on Careers
In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where everyone was able to submit their questions through Twitter using a special hashtag.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/105
071: Where the World is Headed to in the Field of Artificial Intelligence
In this episode of the SuperDataScience Podcast, I chat with Data Science Entrepreneur Hadelin de Ponteves. You will learn about teaching AI to play games, get an overview of key values and how they operate, be able to discuss why a career in Artificial Intelligence should be something worth considering, and know what impact Artificial Intelligence can have on making a better world.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/71
047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised
In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.
If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/47
002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves
In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.
If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/2
