Publisher's Synopsis
This book explicitly gives the reader layman's introduction to machine learning with implementation in python libraries particularly using scikit learn and Tensor flow. We will learn about machine learning and its subset deep learning in detail along with program codes that will give a good overview for the developers. We will also discuss in detail about different machine learning algorithms like support vector machine, Linear regression method in detail with python examples. In the second part of the book, we will deal with neural networks and implement them using Tensor Flow. This book is easily understood and deals with complex concepts explained in a simple way such that beginners can understand it easily. Here we describe the most important topics explained in the book in no particular order:
