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Can I read Big Data Analytics with Java : Learn the Basics of Analytics on Big Data Using Java, Machine Learning and Other Big Data Tools on EtoBox?

Big Data Analytics with Java : Learn the Basics of Analytics on Big Data Using Java, Machine Learning and Other Big Data Tools by Rajat Mehta is a nonfiction available to read on EtoBox.

What is Big Data Analytics with Java : Learn the Basics of Analytics on Big Data Using Java, Machine Learning and Other Big Data Tools about?

Learn the basics of analytics on big data using Java, machine learning and other big data toolsAbout This BookAcquire real-world set of tools for building enterprise level data science applicationsSurpasses the barrier of other languages in data science and learn create useful object-oriented codesExtensive use of Java compliant big data tools like apache spark, Hadoop, etc.Who This Book Is ForThis book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful.What You Will LearnStart from simple analytic tasks on big dataGet into more complex tasks with predictive analytics on big data using machine learningLearn real time analytic tasksUnderstand the concepts with examples and case studiesPrepare and refine data for analysisCreate charts in order to understand the dataSee various real-world datasetsIn DetailThis book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.This book is an end-to-end guide to

Who reads Big Data Analytics with Java : Learn the Basics of Analytics on Big Data Using Java, Machine Learning and Other Big Data Tools?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Rajat Mehta
Publisher
Packt Publishing Limited
Published
2017
Language
EN
ISBN
9781787288980
Category
nonfiction
Subjects
Business, Language Learning, Science

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