Chapter

The Limitations of TensorFlow in Machine Learning
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1:09:17 - 1:13:58 (04:41)

The widespread use of TensorFlow has led many young people entering the field of machine learning to believe that there is no need for further algorithm development. However, as the field becomes more stochastic and decentralized, there is a need for new algorithms to be developed to solve complex problems.

Clips
The availability of TensorFlow has led many to believe that machine learning is a solved problem, but it is important to recognize the limitations of this tool and explore other algorithms for decentralized applications.
1:09:17 - 1:13:58 (04:41)
listen on SpotifyListen on Youtube
Machine Learning
Summary

The availability of TensorFlow has led many to believe that machine learning is a solved problem, but it is important to recognize the limitations of this tool and explore other algorithms for decentralized applications.

Chapter
The Limitations of TensorFlow in Machine Learning
Episode
#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
Podcast
Lex Fridman Podcast