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Author by : Phil Kim Languange Used : en Release Date : 2017-06-15 Publisher by : Apress ISBN : 9781484228456 File Size : 54,8 Mb Total Download : 515
Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You’ll see how deep learning is a complex and more intelligent aspect of m
Author by : Giuseppe Ciaburro Languange Used : en Release Date : 2017-08-28 Publisher by : Packt Publishing Ltd ISBN : 9781788399395 File Size : 49,7 Mb Total Download : 248
Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting appl
Author by : Michael Paluszek Languange Used : en Release Date : 2016-12-28 Publisher by : Apress ISBN : 9781484222508 File Size : 48,7 Mb Total Download : 512
This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning. The book reviews commercially available packages for machine learning and shows how they fit into the field. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their softwar
Author by : J. Smith Languange Used : en Release Date : 2017-04-18 Publisher by : Createspace Independent Publishing Platform ISBN : 1545431590 File Size : 40,8 Mb Total Download : 705
Machine learning teaches computers to do what comes naturally to humans: learn from experience. Machine learning algorithms use computational methods to "learn" information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve their performance as the number of samples available for learning increases. Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in