Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
undefined
Jul 22, 2022 • 5min

594: Why CEOs Care About A.I. More than Other Technologies

A.I. industry veteran Ben Taylor and Jon Krohn discuss why CEOs prioritize A.I., highlighting pressure from boards and potential business growth. They tackle communication challenges between data scientists and executives, emphasizing the importance of simplifying benefits and improving storytelling to drive excitement and actionable insights.
undefined
Jul 19, 2022 • 1h 22min

593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration

Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia, to discuss the evolution of computing and data science, the importance of open-source and open-access, the 4+1 model of data science skills, and practical applications in biomedical data science research.
undefined
Jul 15, 2022 • 3min

592: How to Sell a Multimillion Dollar A.I. Contract

A.I. industry veteran Ben Taylor shares insights on selling multimillion-dollar A.I. contracts, focusing on building trust, presenting value propositions, and solving high-value AI issues to seal the deal.
undefined
Jul 12, 2022 • 1h 15min

591: Simulations and Synthetic Data for Machine Learning

PhD Candidate Mars Buttfield-Addison talks simulations, Swift in A.I., space junk tracking, and choosing industry internships over academia in data science with Jon Krohn.
undefined
Jul 8, 2022 • 6min

590: Artificial General Intelligence is Not Nigh (Part 2 of 2)

The podcast delves into the challenges of achieving Artificial General Intelligence, including machine learning systems learning like babies, making causal inferences, handling uncertainty, predicting long-term impacts, hierarchical representation of abstract concepts, and task decomposition.
undefined
Jul 5, 2022 • 56min

589: Narrative A.I. with Hilary Mason

Hilary Mason, CEO of Hidden Door, explains the value of narrative A.I. in fostering creativity and building ML products without quantitative error functions. She shares insights on ensuring creative A.I. output is meaningful, her OSEMN data science process, excitement for emerging ML techniques, qualities sought in engineering hires, and her hopeful view on A.I.'s positive impact in the future.
undefined
Jul 1, 2022 • 6min

588: Artificial General Intelligence is Not Nigh

Exploring the Scale and Complexity in Artificial General Intelligence, challenges in replicating human intelligence with artificial systems, and reasons why AGI might not be on the horizon explained by Jon in this podcast.
undefined
Jun 28, 2022 • 1h 25min

587: Data Engineering for Data Scientists

Mark Freeman, Senior Data Scientist at Humu, discusses data engineering tips for career growth, tools for pipeline engineering, and advice for getting hired at startups. Topics include leveraging data for workplace behavior improvement, the differences between junior and senior data scientists, and the importance of data scientists exploring Web3 technology.
undefined
Jun 24, 2022 • 5min

586: Daily Habit #10: Limit Social Media Use

Learn how limiting social media use can boost productivity, mental health, and work efficiency. Discover the negative effects of excessive social media use on problem-solving abilities and ways to counteract them, such as following beneficial content creators and monitoring time spent on these platforms.
undefined
Jun 21, 2022 • 1h 26min

585: PyMC for Bayesian Statistics in Python

Dr. Thomas Wiecki, Core Developer of PyMC, discusses Bayesian statistics, PyMC development, commercial applications, successful company culture, and top resources for learning. Topics include efficiency in model training, hierarchical models, Markov Chain Monte Carlo algorithms, and building a collaborative work environment at PyMC Labs.

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app