An Introduction to Machine Learning

• Main Authors: Rebala, Gopinath (Author, http://id.loc.gov/vocabulary/relators/aut), Ravi, Ajay (http://id.loc.gov/vocabulary/relators/aut), Churiwala, Sanjay (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Electronic circuits.; Artificial intelligence.; Computational intelligence.; Circuits and Systems.; Artificial Intelligence.; Computational Intelligence.

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 manne...

Table of Contents:

• Introduction
• Basics before Machine Learning
• Learning Models
• Regression
• Improving Further
• Classification
• Clustering (unsupervised Learning)
• Random Forests
• Testing the Algorithm and the Network
• Neural Network
• Reinforcement Learning
• Deep Learning
• Principal Component Analysis
• Anomaly Detection
• Recommender System
• Feature Search/Convolution
• Natural Language Processing
• Language Translation
• AlphaGo
• Data Quality
• System Improvement
• Software stack
• Hardware Implementations. .