Machine Learning with Python by Amin Zollanvari (.PDF)
File Size: 39.1 MB
Machine Learning with Python: Theory and Implementation by Amin Zollanvari
Requirements: .PDF reader, 39.1 MB | True PDF
Overview: This book is meant as a textbook for undergraduate and graduate students who are willing to understand essential elements of Machine Learning from both a theoretical and a practical perspective. The choice of the topics in the book is made based on one criterion: whether the practical utility of a certain method justifies its theoretical elaboration for students with a typical mathematical background in engineering and other quantitative fields. As a result, not only does the book contain practically useful techniques, it also presents them in a mathematical language that is accessible to both graduate and advanced undergraduate students. The primary goal of this book is to provide, as far as possible, a concise systematic introduction to practical and mathematical aspects of Machine Learning algorithms. At the same time, throughout the book and in order to keep a balance between theory and practice, the theoretical introduction to each method is complemented by its Python implementation either in Scikit-Learn or Keras.
Genre: Non-Fiction > Tech & Devices
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