By Rajat Mehta
- Acquire real-world set of instruments for construction company point info technology applications
- Surpasses the barrier of alternative languages in information technology and research create worthy object-oriented codes
- Extensive use of Java compliant tremendous info instruments like apache spark, Hadoop, etc.
This e-book covers case experiences equivalent to sentiment research on a tweet dataset, tips about a movielens dataset, shopper segmentation on an ecommerce dataset, and graph research on genuine flights dataset.
This booklet is an end-to-end consultant to enforce analytics on significant information with Java. Java is the de facto language for significant substantial facts environments, together with Hadoop. This booklet will educate you ways to accomplish analytics on immense facts with production-friendly Java. This ebook essentially divided into sections. the 1st half is an advent that would support the readers get familiar with monstrous info environments, while the second one half will include a hardcore dialogue on the entire innovations in analytics on titanic information. it is going to take you from info research and knowledge visualization to the middle innovations and merits of computer studying, real-life utilization of regression and class utilizing Naive Bayes, a deep dialogue at the options of clustering,and a evaluate of easy neural networks on monstrous facts utilizing deepLearning4j or simple Java Spark code. This booklet is a must have ebook for Java builders who are looking to begin studying substantial facts analytics and wish to exploit it within the actual world.
What you are going to learn
- Start from uncomplicated analytic initiatives on great data
- Get into extra advanced initiatives with predictive analytics on tremendous facts utilizing laptop learning
- Learn genuine time analytic tasks
- Understand the ideas with examples and case studies
- Prepare and refine information for analysis
- Create charts as a way to comprehend the data
- See numerous real-world datasets
About the Author
The writer is a vice chairman (Technical Architect) in expertise in JP Morgan Chase in long island. the writer is a sunlight qualified java developer and has labored on java similar applied sciences for greater than sixteen years. present function for the previous few years seriously consists of using bid information stack and operating analytics on it. writer is usually a contributor in a variety of open resource tasks which are to be had on his GitHub repository and can be a widespread write on dev magazines.
Table of Contents
- Big information Analytics with Java
- First Steps on info Analysis
- Data Visualization
- Basics of desktop Learning
- Regression on titanic Data
- Naive Bayes and Sentiment Analysis
- Classification utilizing choice Trees
- Classification on ensemble of selection Trees
- Recommendations on massive Data
- Clustering in motion on giant Data
- Building graphs on titanic Data
- Streaming on significant Data
- Deep studying utilizing vast Data
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Extra info for Big Data Analytics with Java
Big Data Analytics with Java by Rajat Mehta