| #2697017 in Books | Awad Mariette | 2015-04-30 | 2015-05-14 | Original language:English | PDF # 1 | 10.00 x.61 x7.00l,.0 | File type: PDF | 268 pages | Efficient Learning Machines Theories Concepts and Applications for Engineers and System Designers||1 of 1 people found the following review helpful.| Good Introduction|By Ray|Good introduction to ML and Algorithms. The book is more geared towards understanding the concepts, rather than real world implementations, eventually you have to look at other books for deep dive.|0 of 0 people found the following review helpful.| For knowledge refresh|By Jian Xu|Good coverage with dep|About the Author|Rahul Khanna is a platform architect at Intel Corporation involved in development of energy-efficient algorithms. Over the past 17 years he has worked on server system software technologies, including platform automation, power/thermal optimizat
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired technique...
You can specify the type of files you want, for your device.Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers | Mariette Awad, Rahul Khanna. Just read it with an open mind because none of us really know.
