Thank you for purchasing the MEAP for Machine Learning with TensorFlow, Second Edition. To get the most benefit from this book, you’ll want to treat the chapters as two parts: first, a sprinkle of math and theory, and, then, practical applications of it using Python, TensorFlow and friends. When I reference uses of machine learning techniques like regression or classification in particular domains and cite example datasets or problems, think about how you can use those data and/or problem domains to test out the new machine learning you are using.
That’s what I did as a reader of the first edition book, poring over the chapters, and then applying the “what ifs” at the end and pointers to datasets, in order to create new chapters in this edition based on the notebooks and work that I did. The whole process ended up taking in some cases weeks and months to complete for each of the chapters. I’ve captured all the updates for that in the second edition, and you will see them as you read this MEAP!