Data Science with Java
Practical Methods for Scientists and Engineers
|Price||$27.33 - $47.76
|Format||Paper book / ebook (PDF)|
Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.
You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you'll find code examples you can use in your applications.
- Examine methods for obtaining, cleaning, and arranging data into its purest form;
- Understand the matrix structure that your data should take;
- Learn basic concepts for testing the origin and validity of data;
- Transform your data into stable and usable numerical values;
- Understand supervised and unsupervised learning algorithms, and methods for evaluating their success;
- Get up and running with MapReduce, using customized components suitable for data science algorithms;
4 5 7
Practical Data Science with R, 2nd Edition
by Nina Zumel, John Mount
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business...
Price: $39.99 | Publisher: Manning | Release: 2019
Data Science with SQL Server Quick Start Guide
by Dejan Sarka
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.This book is the ideal introduction to data science w...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
by Dan Toomey
R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands.The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide vari...
Price: $30.99 | Publisher: Packt Publishing | Release: 2014
Expert Oracle and Java Security
by David Coffin
Expert Oracle and Java Security: Programming Secure Oracle Database Applications with Java provides resources that every Java and Oracle database application programmer needs to ensure that they have guarded the security of the data and identities entrusted to them. You'll learn to consider potential vulnerabilities, and to apply bes...
Price: $46.78 | Publisher: Apress | Release: 2011
Hands-On Data Science with SQL Server 2017
by Marek Chmel, Vladimir Muzny
SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features.Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced leve...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
Applied Data Science with Python and Jupyter
by Alex Galea
Getting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. In this book, you'll learn every aspect of the standard data workflow pro...
Price: $29.99 | Publisher: Packt Publishing | Release: 2018
by Stephen A. Thomas
Price: $10.97 | Publisher: No Starch Press | Release: 2015
by Nina Zumel, John Mount
Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics.Practical Data Science with R shows you how to app...
Price: $13.25 | Publisher: Manning | Release: 2014