

#19500
Mentioned in 2 episodes
Hands-On Machine Learning
with Scikit-Learn, Keras, and TensorFlow
Book • 2017
'Hands-On Machine Learning' provides a practical guide to machine learning, starting with the fundamentals and progressing to advanced concepts.
The book emphasizes hands-on experience, teaching readers how to use Python frameworks such as Scikit-Learn, Keras, and TensorFlow.
It covers a wide array of machine learning methods, including linear regression, ensemble learning, and neural networks.
With clear explanations and practical examples, the book helps readers understand how to implement machine learning solutions in real-world scenarios.
This approach allows both beginners and experienced practitioners to gain a deeper understanding of machine learning principles and techniques.
The book emphasizes hands-on experience, teaching readers how to use Python frameworks such as Scikit-Learn, Keras, and TensorFlow.
It covers a wide array of machine learning methods, including linear regression, ensemble learning, and neural networks.
With clear explanations and practical examples, the book helps readers understand how to implement machine learning solutions in real-world scenarios.
This approach allows both beginners and experienced practitioners to gain a deeper understanding of machine learning principles and techniques.
Mentioned by
Mentioned in 2 episodes
Mentioned as a best-selling book on machine learning and the reason why 

was invited on the podcast.


Aurélien Géron

82 snips
919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron
Recommended by 

and will be read by Sharish to revisit some Python after years.


Jon Krohn

12 snips
921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta