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Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
The Healthy Programmer: Get Fit, Feel Better, and Keep Coding (Pragmatic Programmers)
The Healthy Programmer: Get Fit, Feel Better, and Keep Coding (Pragmatic Programmers)

Printed in full color.

To keep doing what you love, you need to maintain your own systems, not just the ones you write code for. Regular exercise and proper nutrition help you learn, remember, concentrate, and be creative--skills critical to doing your job well. Learn how to change your work habits, master exercises
...

Pro Angular
Pro Angular

Angular 4.0 updates for this book are now available. Follow the Download source code link for this book on the Apress website.

Get the most from Angular 2, the leading framework for building dynamic JavaScript applications. Best-selling author Adam Freeman begins by describing the MVC...

Pro Spring 5: An In-Depth Guide to the Spring Framework and Its Tools
Pro Spring 5: An In-Depth Guide to the Spring Framework and Its Tools

Master Spring basics and core topics, and share the authors’ insights and real–world experiences with remoting, Hibernate, and EJB. Beyond the basics, you'll learn how to leverage the Spring Framework to build the various tiers and parts of an enterprise Java application: transactions, web and presentation tiers, deployment,...

A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications

This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and...

Linear Programming: Foundations and Extensions (International Series in Operations Research & Management Science)
Linear Programming: Foundations and Extensions (International Series in Operations Research & Management Science)
Linear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization.

The book is...

Fuzzy Automata and Languages: Theory and Applications (Computational Mathematics)
Fuzzy Automata and Languages: Theory and Applications (Computational Mathematics)
The huge number and broad range of the existing and potential applications of fuzzy logic have precipitated a veritable avalanche of books published on the subject. Most, however, focus on particular areas of application. Many do no more than scratch the surface of the theory that holds the power and promise of fuzzy logic. Fuzzy Automata and...
Introduction to Logistics Systems Planning and Control (Wiley Interscience Series in Systems and Optimization)
Introduction to Logistics Systems Planning and Control (Wiley Interscience Series in Systems and Optimization)
Logistic systems constitute one of the cornerstones in the design and control of production systems and the modelling of supply chains. They are key to a number of industries, and courses teaching logistics systems planning and control are becoming more widespread. Introduction to Logistics Systems Planning and Control is the first book to...
Exploring Monte Carlo Methods
Exploring Monte Carlo Methods

Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two chapters focus on applications in nuclear...

A Computational Introduction to Number Theory and Algebra
A Computational Introduction to Number Theory and Algebra
"This is an outstanding and well-written book whose aim is to introduce the reader to a broad range of material -- ranging from basic to relatively advanced -- without requiring any prior knowledge on the part of the reader other than calculus and mathematical maturity. That the book succeeds at this goal is quite an accomplishment! ...this...
Operating Systems: Internals and Design Principles (5th Edition) (GOAL Series)
Operating Systems: Internals and Design Principles (5th Edition) (GOAL Series)
This book covers concepts, structure, and mechanisms of operating systems. Stallings presents the nature and characteristics of modern-day operating systems clearly and completely. Includes major programming projects. Offers step-by-step web support with CD/Rom Resources. A basic reference for those interested in learning...
Introduction to Probability and Stochastic Processes with Applications
Introduction to Probability and Stochastic Processes with Applications

An easily accessible, real-world approach to probability and stochastic processes

Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...

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