What Are the Best Books for Learning About ML and Neural Networks?

Discussion Forum
1

I have been recommended a few books, but I am not sure which one to choose. I want something I can read on the go without needing a computer in front of me all the time. Here are some suggestions I received:

  • “Python Machine Learning” by Sebastian Raschka and Vahid Mirjalili
  • “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • “Make Your Own Neural Network” by Tariq Rashid
  • “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron
  • “Neural Networks and Deep Learning: A Textbook” by Charu C. Aggarwal
  • “Neural Networks from Scratch” by Harrison Kinsley and Daniel Kukieła

Feel free to share your recommendations!

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I started with Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili.

3

Neural Networks and Deep Learning: This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning.

4

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.

5

From my experience, “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron is an exceptional choice for learning machine learning and deep learning concepts. It stands out because it provides a practical approach with clear explanations and hands-on exercises. Géron covers fundamental machine learning algorithms using Scikit-Learn, dives into deep learning concepts with TensorFlow and Keras, and includes real-world projects that reinforce learning through application.

6

The book is structured to guide beginners through advanced topics, making it accessible for those new to the field while also offering valuable insights and techniques for experienced practitioners. Whether you’re interested in building predictive models, understanding neural networks, or applying machine learning to real-world problems, “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” offers a comprehensive and engaging learning experience that doesn’t require constant access to a computer, making it ideal for reading on the go.