Mastering Java for Data Science

購買商店

Mastering Java for Data Science

$1,320.00

馬上購買

內容描述

Key FeaturesThis comprehensive book shows you exactly how you can take your Java data science applications to production seamlesslyDive deep into analytics, supervised and unsupervised learning, and much more with easeExplore Java's various libraries to efficiently build and deploy data applications for the enterpriseBook DescriptionJava is the language of choice if you want to bring data science to production, thanks to its stability and rich set of libraries. Major big data solutions including Hadoop are written in Java. This book will teach you how to perform data analysis on big data in a much more sophisticated manner. If you are willing to take your data products to enterprise without changing your stack, this book will tell you how to do it with ease.This book will quickly brush up on what you already know about using Java in data science applications and will then dive quickly into the advanced concepts to implement data science in production. The book covers topics such as advanced data science algorithms, preparing tricky data, advanced clustering, regression, classification, prediction, machine learning, and more.We'll teach you how data science can be used effectively to analyze unstructured data and big data. This book will enable you to tackle the problems of advanced visualization, advanced statistics, scaling data science applications, deploying these applications in production, and many more. You will also learn about natural language processing, real-time analytics, deep learning, and neural networks.What you will learnGet a solid understanding of the data processing toolbox available in JavaExplore the data science ecosystem available in Java and other JVM languagesUnderstand when to use Java and what is best to do outside of JavaDeal with the machine learning task at hand and bring the results directly to productionGet state-of-the-art performance with xgboost and deeplearning4jBuild applications that scale and process large amounts of data in real time