Infinite ML with Prateek Joshi

156 Episodes

1. Telling stories WITH data vs ABOUT data | Scott Taylor

   Published: 7/28/2022
2. Upskilling, learning, and keeping yourself relevant as a data practitioner | Matt Harrison

   Published: 7/25/2022
3. Ben Taylor on metaheuristics, AI teaching AI, genetic programming, impact of generative AI on art, building startups, and what it means to be the first data scientist at a company

   Published: 7/21/2022
4. Srinath Sridhar on the 0-to-1 journey of building ML products

   Published: 7/18/2022
5. What's new in ML: Space telescope, rare earth elements, universal speech translator, quantitative reasoning, quantum computing, robots handling deformable material, and how AI systems can explain a pi

   Published: 7/14/2022
6. Adam Sroka on how energy markets work, where renewable energy fits in, software engineering, data scientists, and using machine learning for climate problems

   Published: 7/11/2022
7. Doug Laney on infonomics, data monetization patterns, quantifying data's economic value, collateralizing data, and insuring data.

   Published: 7/6/2022
8. What's new in ML: The question of whether AI is sentient, NASA's helicopter on Mars, Yann LeCun's recent proposal on Autonomous Machine Intelligence, Amazon's AI-powered coding assistant, and a reconf

   Published: 6/30/2022
9. Jason Krantz on talent trends in the AI sector, hyperlocal job markets in US, flow of talent across sectors, and the craft of employee retention

   Published: 6/27/2022
10. Jordan Morrow on the next unlock for the education market, data literacy, and upskilling in machine learning

    Published: 6/20/2022
11. Harpreet Sahota on community building, bottom-up adoption, and developer relations for machine learning products

    Published: 6/20/2022
12. Brent Dykes on data storytelling

    Published: 6/16/2022
13. Joe Reis on data engineering and architecture

    Published: 6/13/2022
14. What's new in ML: Prateek Joshi talks about nuclear fusion, photonic chips, electronic skin, and analyzing satellite imagery with machine learning.

    Published: 6/9/2022
15. Vin Vashishta on injecting reality into machine learning products and creating business value with data science

    Published: 6/6/2022
16. AMA with Prateek Joshi: Space industry, synthetic data in machine learning, foundation models, AI-infused coding tools

    Published: 6/2/2022
17. Serg Masis on interpretable machine learning, process fairness vs statistical fairness, how to measure interpretability, how to interpret neural networks, how to increase the interpretability of a mod

    Published: 5/30/2022
18. AMA with Prateek Joshi: Python vs Matlab for machine learning, switching careers to ML, building startups, career paths

    Published: 5/26/2022
19. Zach Keller on recommerce, circular shopping, carbon footprint, economics, how do incentives work in marketplaces, push bucket vs pull bucket, machine learning tools, building data science culture

    Published: 5/23/2022
20. What's new in ML: Prateek Joshi talks about predicting battery lifetimes, fighting wildfires with machine learning, rainfall mapping, avoiding idling at traffic lights, world's largest publicly availa

    Published: 5/19/2022