This book is a discussion about machine learning. It is the best book for those with little or no knowledge about machine learning. The book begins by helping you understand what machine learning is. You will also learn the areas in which machine learning is applicable. In machine learning, training is very essential, as it is what helps the machine learning algorithms to learn and show an improvement next time from their experience. This book discusses the various machine learning algorithms. It also examines the perceptron, which is very essential in machine learning. This tries to operate in the same way that the human brain operates. Logistic regression is also explored in detail. You will also learn how to use Support Vector Machines (SVMs). Neural networks are becoming very key in machine learning nowadays. This book helps you understand how to employ the concept of neural networks in machine learning. You will also learn more about the backpropagation algorithm and how it helps the machine learning systems to learn and show an improvement based on experience. Python is a powerful programming language and good for implementation of a machine learning system. This book guides you on how to create a machine learning system in Python. This book further helps you learn how to use clustering in machine learning. The following topics are discussed in this book: - What is Machine Learning?- Machine Learning Algorithms- Perceptrons, Logistic Regression, and SVMs- Neural Networks for Machine Learning- Machine Learning in Python- Clusterin