The Art of R Programming: A Tour of Statistical Software Design
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
SQL Primer: An Accelerated Introduction to SQL Basics
Modern society is driven by data. Whether it is at a personal level, like a
notebook containing scribbled notes; or at a countrywide level like Census
data, it has permeated all our workflows. There is always a growing need
to efficiently store and organize it so that meaningful information can be
extracted out of raw data.
R and Data Mining: Examples and Case Studies
This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It
Presents an introduction into using R for data mining applications, covering most popular data mining techniques
Learning Docker - Second Edition: Build, ship, and scale faster
Docker lets you create, deploy, and manage your applications anywhere at anytime – flexibility is key so you can deploy stable, secure, and scalable app containers across a wide variety of platforms and delve into microservices architecture
About This Book
This up-to-date edition...
Hacking Raspberry Pi
DIY hardware hacking...easy as Pi ®!
Raspberry Pi is taking off like a rocket! You can use this amazing, dirt-cheap, credit card-sized computer to learn powerful...
Angular: Up and Running: Learning Angular, Step by Step
C for the Microprocessor Engineer
C for the Microprocessor Engineer is designed to introduce the reader to the use, problems and advantages of using C as the programming medium for embedded microprocessor systems. It can be used as a general stand-alone text in microprocessor technology, since only a limited background is expected in microprocessor hardware and...
Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets
As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...
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