Java Data Science Cookbook
Java has been one of the most popular languages for developers for several decades and yet the potential of the Java ecosystem still remains untapped when it comes to using JVM-based languages and platforms to solve data science related problems. A variety of tools and libraries are available such as Spark, Hadoop, and Mahout for computation and libraries such as MLlib, Weka, DL4j to implement smart data models. This book uncovers practically all these techniques in the form of recipes showing you how these tools and libraries can solve statistical, analytical, data mining, and information science related problems.
Offered by
Difficulty Level
Intermediate
Completion Time
12h24m
Language
English
About Book
Who Is This Book For?
This book is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro.
Java Data Science Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h24m total length
Obtaining and Cleaning Data
Indexing and Searching Data
Analyzing Data Statistically
Learning from Data part 1
Learning from Data part 2
Retrieving Information from Text Data
Handling Big Data
Learn Deeply from Data
Visualizing Data
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!