Machine Learning Books



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Beginning Apache Spark 2

Beginning Apache Spark 2

by Hien Luu

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data;...

Price:  $25.33  |  Publisher:  Apress  |  Release:  2018

Veracity of Big Data

Veracity of Big Data

by Vishnu Pendyala

Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to ma...

Price:  $29.99  |  Publisher:  Apress  |  Release:  2018

Applied Natural Language Processing with Python

Applied Natural Language Processing with Python

by Taweh Beysolow II

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.Applied Natural Language Processing with Python starts with reviewing the necessary ...

Price:  $23.64  |  Publisher:  Apress  |  Release:  2018

Monetizing Machine Learning

Monetizing Machine Learning

by Manuel Amunategui, Mehdi Roopaei

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book - Amazon, Microsoft, Google, and PythonAnywhere.You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book ar...

Price:  $31.75  |  Publisher:  Apress  |  Release:  2018

Practical Java Machine Learning

Practical Java Machine Learning

by Mark Wickham

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your...

Price:  $28.17  |  Publisher:  Apress  |  Release:  2018

Feature Engineering for Machine Learning

Feature Engineering for Machine Learning

by Alice Zheng, Amanda Casari

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features - the numeric representations of raw data - into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these...

Price:  $39.04  |  Publisher:  O'Reilly Media  |  Release:  2018

Applied Text Analysis with Python

Applied Text Analysis with Python

by Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical...

Price:  $38.49  |  Publisher:  O'Reilly Media  |  Release:  2018

Data Science on the Google Cloud Platform

Data Science on the Google Cloud Platform

by Valliappa Lakshmanan

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you'll work through a sample bus...

Price:  $42.33  |  Publisher:  O'Reilly Media  |  Release:  2018

Introduction to Machine Learning with R

Introduction to Machine Learning with R

by Scott Burger

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.Finally, you'll delve i...

Price:  $41.65  |  Publisher:  O'Reilly Media  |  Release:  2018

Machine Learning and Security

Machine Learning and Security

by Clarence Chio, David Freeman

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network ...

Price:  $44.79  |  Publisher:  O'Reilly Media  |  Release:  2018

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