An Introduction to Machine Learning

Description

Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with. Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic; Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning; Not tied to any specific software language or hardware implementation. Front Matter ....Pages i-xxii Machine Learning Definition and Basics (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 1-17 Learning Models (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 19-23 Regressions (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 25-40 Improving Further (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 41-56 Classification (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 57-66 Clustering (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 67-76 Random Forests (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 77-94 Testing the Algorithm and the Network (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 95-102 (Artificial) Neural Networks (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 103-116 Natural Language Processing (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 117-125 Deep Learning (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 127-140 Principal Component Analysis (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 141-152 Anomaly Detection (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 153-167 Recommender Systems (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 169-179 Convolution (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 181-194 Components of Reinforcement Learning (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 195-211 Reinforcement Learning Algorithms (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 213-241 Designing a Machine Learning System (Gopinath Rebala, Ajay Ravi, Sanjay Churiwala)....Pages 243-256 Back Matter ....Pages 257-263