Serg Masís, a renowned Data Scientist in the agriculture sector, with a multifaceted background in entrepreneurship and web/app development. Serg is also the author of the acclaimed book "Interpretable Machine Learning with Python."
📲 Serg Masís Socials:
LinkedIn: https://www.linkedin.com/in/smasis/
📲 Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
📗 Chapters
00:00 Intro
03:02 Interpretable Machine Learning System
11:06 post-hoc interpretability
12:57 Quality of Interpretability bounded by the breadth of inputs
18:52 EDA is more than just exploring the data
21:12 Interpretable Models
27:19 Upper Limit
28:59 Causal reasoning
35:02 Domain Knowledge in Causality
37:42 Causality on existing and generative data
40:42 AGI and Simulation
47:33 LLMs to Interpret Data
52:25 Interaction with Machine Learning Systems
54:53 Modeling in EDA
57:34 Training Data Mixtures
01:02:26 Impact of Generative AI
01:06:05 Mixture of Experts
01:12:46 Serg's upcoming book
01:18:54 Building Product Mindset
01:23:59 Barrier of Entry for Data Scientists
01:28:01 Advice for Book Writers
01:33:43 Career Optimization Function
01:37:45 Web Development Background
01:42:24 Advice for High Schooler, College Student and Professionals
01:47:57 Book Recommendations
01:49:26 Rapid Round
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