Infinite ML with Prateek Joshi

156 Episodes

1. AI on the blockchain, decentralized AI research, incentivized computer networks | Ala Shaabana, cofounder of Bittensor

   Published: 10/24/2022
2. AI observability, being a founder, measuring the ROI of a product | Alessya Visnjic, CEO of WhyLabs

   Published: 10/20/2022
3. Getting into VC, ML infrastructure trends, generative AI on content platforms, product management at startups | Rak Garg

   Published: 10/17/2022
4. ML in cybersecurity, founding a startup, 0-1 phase of building ML products | Howie Xu, VP of AI/ML at Zscaler

   Published: 10/13/2022
5. Data governance | Peggy Tsai, Chief Data Officer at BigID

   Published: 10/10/2022
6. Being the first engineer at a unicorn, founding an AI startup, being a VC | Jay Madheswaran

   Published: 10/6/2022
7. AI alignment, Superintelligence, AI safety | Jeremie Harris

   Published: 10/3/2022
8. Data product pyramid, data product marketplace, data mesh | Jon Cooke

   Published: 9/29/2022
9. Building a collaborative data platform, founding a startup, product design, engaging users, how will data roles evolve in the future | Oliver Hughes

   Published: 9/26/2022
10. Data observability, building a data startup, how to do customer discovery | Egor Gryaznov

    Published: 9/22/2022
11. Synthetic data, quality profiling, building a data startup | Fabiana Clemente

    Published: 9/19/2022
12. Building an open source startup, programming hygiene for ML practitioners, product discipline | Ketan Umare

    Published: 9/15/2022
13. Investing in ML startups, building ML products, startup opportunities in ML | Leigh Marie Braswell

    Published: 9/12/2022
14. How to build an ML startup from scratch, product design, open source strategy, pricing mechanics | Phil Howes

    Published: 9/8/2022
15. Building a global community for women in AI and tech | Sadie St. Lawrence

    Published: 9/1/2022
16. Growing from 0 to 775,000 YouTube subscribers by teaching ML and statistics | Joshua Starmer

    Published: 8/29/2022
17. Building low-code ML tools, being a second-time founder | Tommy Dang

    Published: 8/22/2022
18. Investing in ML and Data startups, Understanding the modern data stack | Chad Sanderson

    Published: 8/15/2022
19. AI in pharma, Building products for pharma vs bio vs healthcare | John Thompson

    Published: 8/8/2022
20. Active Learning in ML, DataPrepOps, Carbon footprint of AI systems | Jennifer Prendki

    Published: 8/1/2022