Recent comprehensive text-books on machine learning?

I would like to ask what are the current recommendations for professional and comprehensive, current books on machine learning.

The two quite classic comprehensive text-books are:

  • Machine Learning: A Probabilistic Perspective (Murphy, 2012)
  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction (By Springer Statistics, 2009)

But they are somewhat dated, so I wonder if there are more recent choices? You may also recommend books that focus on sub-sections of ML, or anything that is recent and of note.

Topic books machine-learning

Category Data Science

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answered at

Machine learning theory

Practical approach

Specific field

With focus on deep learning

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There are (at least) two recent and comprehensive ML books:

  1. Probabilistic Machine Learning: An Introduction by Kevin Murphy.
  2. Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron

Both authors provide draft/raw versions for free online. The latter one however, as title already indicates, does not provide the same mathematical depth as the books by Kevin Murphy or Hastie et al.

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