[PDF download] Hands-On Machine Learning with Scikit-Learn and TensorFlow

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

564 Pages · 2017 · 45.31 MB · 77,928 Downloads· English

Hands-On Machine Learning with Scikit-Learn and TensorFlow must be at the head of my rundown of most strongly suggested books! The measure of material it covers is magnificent, and I can criticize it. The composing is incredibly clear, simple to peruse, written in perfect English. Very well altered. I don’t think I went over any spelling or language mistakes, or any genuine blunders whatsoever. Really strong composition.

The broadness of data secured if very wide. The decision to begin with Scikit-Learn was fascinating, yet bodes well in some way or another while he’s presenting the more essential AI ideas. Straightforward AI methods like calculated relapse, information molding, managing preparing, approval, test set. Regardless of whether you’ve found out about these ideas multiple times, you may even now gather helpful data from these pages.

The Tensorflow area is additionally too all around done. Clear arrangement directions, pretty comprehensible clarification of the fundamental ideas (factors, placeholders, layers, and so on) to kick you off. The model code is very acceptable, and the scratch pad are very finished and appear to function admirably, with possibly a couple of changes and extra arrangement for a few. I additionally found that the journals show a bigger number of models than what’s in the book, which can be decent.

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