Mastering Java for Data Science
Java is the most wide-spread programming language nowadays, and you fill find it everywhere, from small startup companies to large enterprises. It is also a common choice for developing Data Science applications thanks to Java's prevalence and rich data processing toolbox. This book will explain how to use Java for Data Science, overview the available Machine Learning libraries, and cover many topics including supervised and unsupervised learning, natural language processing, deep learning, and big data
Offered by
Difficulty Level
Intermediate
Completion Time
12h8m
Language
English
About Book
Who Is This Book For?
This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you!
Mastering Java for Data Science
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h8m total length
Data Science using Java
Data Processing toolbox
Exploratory Data Analysis
Supervised Learning: Classification and Regression
Unsupervised Learning: clustering and dimensionality reduction
Working with text: NLP/IR
Gradient Boosting Trees (xgboost)
Deep Learning (deeplearning4j)
Scaling Data Science
Deploying models
Related Resources
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