Super Data Science: ML & AI Podcast with Jon Krohn 539: Interpretable Machine Learning — with Serg Masís
Jan 11, 2022
Serg Masís, an expert in interpretable machine learning, discusses the importance of this field, challenges involved, future trends, and his role as a Climate & Agronomic Data Scientist. He also shares his day-to-day tools, productivity tips, and why he pursued a Master's in Data Science.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 2min
Interpretable Machine Learning and Ethics in AI
02:23 • 12min
Exploring Interpretable Machine Learning Challenges and Techniques
13:58 • 6min
Importance of Interpretable Machine Learning and Feature Importance
19:30 • 9min
Advantages of Learning TensorFlow and PyTorch for Deep Learning
28:42 • 4min
The Future of Interpretable Machine Learning and Causal Inference
32:31 • 14min
Exploring Agronomy, Sustainability in Agriculture, and Precision Farming with Advanced Sensors
46:15 • 3min
Journey into Data Science and Masters Program
49:32 • 12min