April 2018
Beginner to intermediate
566 pages
12h 17m
English
All the chapters in this book are practical applications. We will develop one application per chapter. We will understand about the application, and choose the proper dataset in order to develop the application. After analyzing the dataset, we will build the base-line approach for the particular application. Later on, we will develop a revised approach that resolves the shortcomings of the baseline approach. Finally, we will see how we can develop the best possible solution using the appropriate optimization strategy for the given application. During this development process, we will learn necessary key concepts about Machine Learning techniques. I would recommend my reader run the code which is given in this book. ...