Big Data Analytics with Java: Data analysis, visualization & machine learning techniques
By 作者: Rajat Mehta
ISBN-10 书号: 1787288986
ISBN-13 书号: 9781787288980
Release Finelybook 出版日期: 2017-07-31
pages 页数: 418

$49.99

Book Description to Finelybook sorting

This 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 implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.
Contents
1: BIG DATA ANALYTICS WITH JAVA
2: FIRST STEPS IN DATA ANALYSIS
3: DATA VISUALIZATION
4: BASICS OF MACHINE LEARNING
5: REGRESSION ON BIG DATA
6: NAIVE BAYES AND SENTIMENT ANALYSIS
7: DECISION TREES
8: ENSEMBLING ON BIG DATA
9: RECOMMENDATION SYSTEMS
10: CLUSTERING AND CUSTOMER SEGMENTATION ON BIG DATA
11: MASSIVE GRAPHS ON BIG DATA
12: REAL-TIME ANALYTICS ON BIG DATA
13: DEEP LEARNING USING BIG DATA
What You Will Learn
Start from simple analytic tasks on big data
Get into more complex tasks with predictive analytics on big data using machine learning
Learn real time analytic tasks
Understand the concepts with examples and case studies
Prepare and refine data for analysis
Create charts in order to understand the data
See various real-world datasets
Authors
Rajat Mehta
The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

由于版权问题,我们将只保留该文章的介绍,不再提供版权文件的下载,对您造成的不便敬请谅解。
您可以 登陆 获取帮助..

Big Data Analytics with Java

发表评论

电子邮件地址不会被公开。 必填项已用*标注