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Hands-on Machine Learning with JavaScript

Hands-on Machine Learning with JavaScript

by Burak Kanber

In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovati...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2018

TensorFlow Machine Learning Cookbook, 2nd Edition

TensorFlow Machine Learning Cookbook, 2nd Edition

by Nick McClure

TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before.With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analy...

Price:  $34.92  |  Publisher:  Packt Publishing  |  Release:  2018

Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure

by Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak

Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way.The book begins by covering the benefits ...

Price:  $36.50  |  Publisher:  Packt Publishing  |  Release:  2018

Machine Learning Fundamentals

Machine Learning Fundamentals

by Hyatt Saleh

As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithms over rea...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2018

Machine Learning with AWS

Machine Learning with AWS

by Jeffrey Jackovich, Ruze Richards

Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications,...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2018

Machine Learning Yearning

FREE EBOOK - Machine Learning Yearning

by Andrew Ng

AI is transforming numerous industries. Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects.This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. After reading Machine Learning Yearning, you will be able to: Prioritize the most promising directions for an AI project; Diagnose errors in a machine learning syst...

Publisher:  Self-publishing  |  Release:  2018

Algorithmic Aspects of Machine Learning

FREE EBOOK - Algorithmic Aspects of Machine Learning

by Ankur Moitra

This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamental machine learning problems.The book is based on the class...

Publisher:  Self-publishing  |  Release:  2018

Foundations of Machine Learning, 2nd Edition

FREE EBOOK - Foundations of Machine Learning, 2nd Edition

by Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justificati...

Price:  $54.38  |  Publisher:  Self-publishing  |  Release:  2018

Practical Artificial Intelligence

Practical Artificial Intelligence

by Arnaldo Perez Castano

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects...

Price:  $32.74  |  Publisher:  Apress  |  Release:  2018

Building Intelligent Systems

Building Intelligent Systems

by Geoff Hulten

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program managem...

Price:  $30.17  |  Publisher:  Apress  |  Release:  2018

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