Uploaded January 2023 | Updated September 2026, 2 weeks ago
Sergey Feldman is the head of AI at Alongside, providing mental health support for students. He is also a Lead Applied Research Scientist at Allen Institute for AI, where he built an ML model that improved search relevancy for scientific literature. Sergey has a PhD in Electrical and Electronics Engineering from the University of Washington. Today we’ll talk about machine learning for search, his consulting project for the Gates Foundation, AI for mental health, and career lessons. Make sure you listen till the end. If you like the show, subscribe, leave a comment, and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's Twitter: twitter.com/DalianaLiuDaliana's
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Sergey's LinkedIn: linkedin.com/in/sergey-feldman-6b45074b
Data Cowboys: data-cowboys.com
Sergey Feldman: You Should Probably Be Doing Nested Cross-Validation | PyData Miami 2019: youtube.com/watch?v=DuDtXtKNpZs
December 4th, 2018 - Breakfast with WACh with Dr. Sergey Feldman, PhD: youtube.com/watch?v=vA_czRcCpvQ
00:00:00 Introduction
00:01:24 Machine learning skeptic
00:03:02 Tree-based models for search relevance
00:14:34 How to do error analysis
00:19:20 Nested cross-validation
00:21:34 Model evaluation
00:30:43 Error analysis common mistakes
00:33:37 How to avoid overfitting
00:35:56 Consulting project with Gates Foundation
00:41:16 Tree-based models vs linear models
00:45:19 Working with non-tech stakeholders
00:50:20 Chatbot for teen’s mental health
00:54:32 Can ChatGPT provide therapy?
00:58:12 How he got into machine learning
01:02:12 How to not have a boss
01:03:46 Feelings vs Facts
01:09:02 Future of machine learning
01:11:30 How to prepare for the future
01:13:39 AutoML
01:17:12 His passion for large language models
Sergey Feldman is the head of AI at Alongside, providing mental health support for students. He is also a Lead Applied Research Scientist at Allen Institute for AI, where he built an ML model that improved search relevancy for scientific literature. Sergey has a PhD in Electrical and Electronics Engineering from the University of Washington. Today we’ll talk about machine learning for search, his consulting project for the Gates Foundation, AI for mental health, and career lessons. Make sure you listen till the end. If you like the show, subscribe, leave a comment, and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's Twitter: twitter.com/DalianaLiuDaliana's
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Sergey's LinkedIn: linkedin.com/in/sergey-feldman-6b45074b
Data Cowboys: data-cowboys.com
Sergey Feldman: You Should Probably Be Doing Nested Cross-Validation | PyData Miami 2019: youtube.com/watch?v=DuDtXtKNpZs
December 4th, 2018 - Breakfast with WACh with Dr. Sergey Feldman, PhD: youtube.com/watch?v=vA_czRcCpvQ
00:00:00 Introduction
00:01:24 Machine learning skeptic
00:03:02 Tree-based models for search relevance
00:14:34 How to do error analysis
00:19:20 Nested cross-validation
00:21:34 Model evaluation
00:30:43 Error analysis common mistakes
00:33:37 How to avoid overfitting
00:35:56 Consulting project with Gates Foundation
00:41:16 Tree-based models vs linear models
00:45:19 Working with non-tech stakeholders
00:50:20 Chatbot for teen’s mental health
00:54:32 Can ChatGPT provide therapy?
00:58:12 How he got into machine learning
01:02:12 How to not have a boss
01:03:46 Feelings vs Facts
01:09:02 Future of machine learning
01:11:30 How to prepare for the future
01:13:39 AutoML
01:17:12 His passion for large language models
