Infinite Curiosity Pod with Prateek Joshi

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1. 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

   Opublikowany: 30.06.2022
2. 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

   Opublikowany: 27.06.2022
3. Harpreet Sahota on community building, bottom-up adoption, and developer relations for machine learning products

   Opublikowany: 20.06.2022
4. Jordan Morrow on the next unlock for the education market, data literacy, and upskilling in machine learning

   Opublikowany: 20.06.2022
5. Brent Dykes on data storytelling

   Opublikowany: 16.06.2022
6. Joe Reis on data engineering and architecture

   Opublikowany: 13.06.2022
7. What's new in ML: Prateek Joshi talks about nuclear fusion, photonic chips, electronic skin, and analyzing satellite imagery with machine learning.

   Opublikowany: 9.06.2022
8. Vin Vashishta on injecting reality into machine learning products and creating business value with data science

   Opublikowany: 6.06.2022
9. AMA with Prateek Joshi: Space industry, synthetic data in machine learning, foundation models, AI-infused coding tools

   Opublikowany: 2.06.2022
10. 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

    Opublikowany: 30.05.2022
11. AMA with Prateek Joshi: Python vs Matlab for machine learning, switching careers to ML, building startups, career paths

    Opublikowany: 26.05.2022
12. 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

    Opublikowany: 23.05.2022
13. 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

    Opublikowany: 19.05.2022
14. Demetrios Brinkmann and Vishnu Rachakonda on how they built the world's largest online hub for production Machine Learning practitioners

    Opublikowany: 16.05.2022
15. What's new in ML: Prateek Joshi talks about brain computer interface, nanomagnetic computing, counting microplastics using Machine Learning, quantum tunneling memory, wine reviews written by AI, spott

    Opublikowany: 12.05.2022
16. Thom Ives on his AI journey, creating educational content, establishing online presence, building a portfolio of machine learning projects, preventing burnout, how growth happens through cycles, story

    Opublikowany: 9.05.2022
17. What's new in ML: Prateek Joshi talks about generative AI, enzyme that can break down plastic quickly, nuclear fusion, low-carbon concrete, synthesizing molecules, object detection, few-shot learning.

    Opublikowany: 5.05.2022
18. Tushar Gupta on the step-by-step process of getting a tech book published, identifying topics for books, the process of writing, and trends in machine learning books.

    Opublikowany: 2.05.2022
19. Richad Nieves-Becker on doing academic vs business work in data science, why sales skills are important for data scientists, how to define tractable problems, the advantage of modular products, rise o

    Opublikowany: 28.04.2022
20. Matt Kirk on quantitative economics, data science, writing books, being a zen student, surviving cancer, and using the pomodoro technique.

    Opublikowany: 25.04.2022