File Name : machine learning using matlab.pdf Languange Used : English File Size : 55,5 Mb Total Download : 937 **Please Disable Adblock to Show Download Link**
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Author by : Giuseppe Ciaburro Languange Used : en Release Date : 2017-08-28 Publisher by : Packt Publishing Ltd ISBN : 9781788399395 File Size : 47,9 Mb Total Download : 547
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 : Phil Kim Languange Used : en Release Date : 2017-06-15 Publisher by : Apress ISBN : 9781484228456 File Size : 40,9 Mb Total Download : 263
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 : Michael Paluszek Languange Used : en Release Date : 2019-01-31 Publisher by : Apress ISBN : 9781484239162 File Size : 45,7 Mb Total Download : 770
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, a
Author by : J. Smith Languange Used : en Release Date : 2017-04-18 Publisher by : Createspace Independent Publishing Platform ISBN : 1545431590 File Size : 48,9 Mb Total Download : 847
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