efficient learning machines pdf
Artificial Intelligence / October 14, 2017

Efficient learning machines pdf is book written by Mariette Awad, and Rahul Khanna and published by The Expert Voice Machine Learning. This book consists of 263 pages including title pages. This book contains 11 chapters starting from Machine Learning, Machine Learning and Knowledge Discovery, Support Vector Machines for Classification, Support Vector Regression, Hidden Markov Model, Bio-Inspired Computing: Swarm Intelligence, Deep Neural Networks, Cortical Algorithms, Deep Learning, Multi objective Optimization, and Machine Learning in Action: Examples. The complete name of the book is: Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers because in this book theories, concepts and how to design Machine in a efficient way is studied and explained. About the Authors: Prof. Mariette Awad is an associate professor in the Electrical and Computer Engineering Department of the American University of Beirut. She is a visiting professor at Virginia Commonwealth University, Intel Mobile Group, and MIT and she received her PhD in electrical engineering in 2007. She was invited by Google, CVC labs, and Qualcomm to present her work on machine learning and image processing. She has published a book “Efficient Machine Learning” in 2015 as well as in various conferences and journals and is managing few awards….