|Python Machine Learning, 3rd Ed (Packt)|
|Friday, 01 May 2020|
This is the third edition of a guide to machine learning and deep learning with Python. Authors Sebastian Raschka and Vahid Mirjalili aim to teach the principles behind machine learning, so developers can build models and applications for themselves.Updated for TensorFlow 2.0, this new edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis.
Authors: Sebastian Raschka and Vahid Mirjalili
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info