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Author by : Burak Kanber Languange Used : en Release Date : 2018-05-29 Publisher by : Packt Publishing Ltd ISBN : 9781788990301 File Size : 47,7 Mb Total Download : 319
Author by : Aurélien Géron Languange Used : en Release Date : 2017-03-13 Publisher by : "O'Reilly Media, Inc." ISBN : 9781491962268 File Size : 51,6 Mb Total Download : 954
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
Author by : Ian Goodfellow Languange Used : en Release Date : 2016-11-10 Publisher by : MIT Press ISBN : 9780262337373 File Size : 52,7 Mb Total Download : 662
"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler
Author by : V Kishore Ayyadevara Languange Used : en Release Date : 2018-06-30 Publisher by : Apress ISBN : 9781484235645 File Size : 49,5 Mb Total Download : 458
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R. You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA