The book contains a chapter that shows a basic flow for working with data problems The TF chapters are interesting but somehow short I would have liked on convolutional layers and RNN.
The reinforcement learning chapter is very interesting.
great introduction into machine learning for both developer and non developers authors suggests to just go through even if you don t understand math details main points are extraction of field expert knowledge is very important you should know which model will serve better for the given solution luckily lot of models are available already from other scientists training data is the most important part the you have it the better so if you can you should accumulate as much data as you can, preferably categorized you may not still know how you will apply the accumulated data in the future but you will need it labeling training data is very important too to train neural network you need to have at least thousands of labeled data
At the time of reading, I had already learnt about most concept in the book So, I focused only the deep parts of Tensorflow It s a good book overall I imagine it would be very useful for myself a few years ago.
My favorite part is the reinforce learning in the last chapter The chapter makes sense, is easy to understand, and its sample is very practical.
A very excellent introduction to many machine learning algorithms beginning at the very beginning and ending much further than I expected I can t wait for the updated edition to reference because, yes, many tensorflow functions changed name.
5 for the first half of the book, scikit learn 3 for the second half, Tensor Flow Nice examples with Jupyter notebooks Good mix of practical with theoretical The scikit learn section is a great reference, nice detailed explanation with good references for further reading to deepen your knowledge The tensor flow part is weaker as examples become complex Chollet s book Deep Learning with Python, which uses Keras is much stronger, as the examples are easier to understand as Keras is a simple layer over tensor flow to ease the use Also Chollet explains the concepts better and nicely annotates his code.
Buy this book for scikit learn and overall best practise for machine learning and data science Buy Chollet s Deep Learning using Python for practical deep learning itself.
Overall still a practical book with Jupyter Notebo This is the best book I ve read on machine learning It is well written and the examples are very good with real data sets.
The first half is an introduction to machine learning and the second half explores deep learning It is a great book to read along an online course.