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Java for Data Science

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Java for Data Science, 9781785280115 (1785280112), Packt Publishing, 2017
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is For This book is for Java developers who are comfortable developing applications in Java. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful. What You Will Learn Understand the nature and key concepts used in the field of data science Grasp how data is collected, cleaned, and processed Become comfortable with key data analysis techniques See specialized analysis techniques centered on machine learning Master the effective visualization of your data Work with the Java APIs and techniques used to perform data analysis In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this book, we cover the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. The book starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. The next section examines the major categories of data analysis including text, visual, and audio data,
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How to Make a Robot
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...

Bandwidth Efficient Coding (IEEE Series on Digital & Mobile Communication)
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This book addresses coding, a new solution to the major challenge of communicating more bits of information in the same radio spectrum.

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  • Discusses the method of faster than Nyquist signaling
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The one great megatrend of the new millennium. In this important and timely book encompassing the key trends of our time, John Naisbitt, the world's foremost social forecaster and bestselling author, takes us on a compelling and kaleidoscopic tour of our contemporary 'technology immersion' and our accelerated search for meaning. High...

Penetration Testing Basics: A Quick-Start Guide to Breaking into Systems
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Learn how to break systems, networks, and software in order to determine where the bad guys might get in. Once the holes have been determined, this short book discusses how they can be fixed. Until they have been located, they are exposures to your organization. By reading Penetration Testing Basics, you'll...
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This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018.  The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised...
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Genetic algorithms (GAs) are randomized search and optimization techniques guided by the principles of evolution and natural genetics; they have a large amount of implicit parallelism. GAs perform multimodal search in complex landscapes and provide near-optimal solutions for objective or tness func tion of an...
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