Neural Networks With R by Giuseppe Ciaburro (English) Paperback Book

Description: Neural Networks With R by Giuseppe Ciaburro, Balaji Venkateswaran Machine learning explores the study and construction of algorithms that can learn from, and make predictions on, data. This book will act as an entry point for anyone who wants to make a career in the field of Machine Learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-M.. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Uncover the power of artificial neural networks by implementing them through R code.About This Book* Develop a strong background in neural networks with R, to implement them in your applications* Build smart systems using the power of deep learning* Real-world case studies to illustrate the power of neural network modelsWho This Book Is ForThis book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need!What You Will Learn* Set up R packages for neural networks and deep learning* Understand the core concepts of artificial neural networks* Understand neurons, perceptrons, bias, weights, and activation functions* Implement supervised and unsupervised machine learning in R for neural networks* Predict and classify data automatically using neural networks* Evaluate and fine-tune the models you build.In DetailNeural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning.This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then youll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases.By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book.Style and approachA step-by-step guide filled with real-world practical examples. Details ISBN1788397878 Author Balaji Venkateswaran Pages 270 Publisher Packt Publishing Limited Year 2017 ISBN-10 1788397878 ISBN-13 9781788397872 Format Paperback Publication Date 2017-09-27 Language English Media Book Audience General/Trade UK Release Date 2017-09-27 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2023-04-02 NZ Release Date 2023-04-02 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:117361135;

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