Machine Learning Street Talk (MLST)
Prof. Chris Bishop's NEW Deep Learning Textbook!
Apr 10, 2024
Chris Bishop, Technical Fellow at Microsoft Research AI4Science and a leading figure in machine learning, discusses his newly co-authored textbook 'Deep Learning: Foundations and Concepts.' He delves into the evolution of deep learning, emphasizing the importance of a probabilistic approach. The conversation covers the nature of large models like GPT-4, AI's role in scientific discovery, and strategies for improving model training with geometric priors. Bishop also reflects on the paradox of deep learning effectiveness and the ethical considerations in AI development.
01:22:59
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Quick takeaways
- Chris Bishop's foundational textbooks shifted machine learning towards a probabilistic perspective over neurobiological approaches.
- The new book on deep learning aims to distill lasting principles and concepts, omitting transient trends for beginners in the field.
Deep dives
Influencing the Field with Probabilistic Perspective
The first book on neural networks for pattern recognition from 1995 steered the field towards a more probabilistic view of machine learning, emphasizing a statistical perspective over a neurobiological approach. This shift remains influential in guiding the field's development towards a more rigorous and mathematically founded direction.
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