Ask HN: What is the best book for programmers to grasp “Machine Learning”?

If you just want a practical crash course using Python libraries these lectures are open: <a href="http:&#x2F;&#x2F;www.datasciencecourse.org&#x2F;lectures&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.datasciencecourse.org&#x2F;lectures&#x2F;</a><p>Otherwise mitpress has many good books most used for intro courses like Kevin P Murphy&#x27;s book, which has easy to follow MATLAB and pseudocode examples <a href="https:&#x2F;&#x2F;www.cs.ubc.ca&#x2F;~murphyk&#x2F;MLbook&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.cs.ubc.ca&#x2F;~murphyk&#x2F;MLbook&#x2F;</a>

Andrew Ng&#x27;s Machine Learning Yearning<p><a href="http:&#x2F;&#x2F;www.mlyearning.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.mlyearning.org&#x2F;</a> <a href="https:&#x2F;&#x2F;www.deeplearning.ai&#x2F;machine-learning-yearning&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.deeplearning.ai&#x2F;machine-learning-yearning&#x2F;</a>

Hal Daumé III has an excellent self-published textbook online. Easy to follow, pleasantly formatted, well-written, and best of all, totally free.<p><a href="http:&#x2F;&#x2F;ciml.info&#x2F;" rel="nofollow">http:&#x2F;&#x2F;ciml.info&#x2F;</a>