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Data Mining Applications with R
Data Mining Applications with R

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including...

Data Science: Innovative Developments in Data Analysis and Clustering (Studies in Classification, Data Analysis, and Knowledge Organization)
Data Science: Innovative Developments in Data Analysis and Clustering (Studies in Classification, Data Analysis, and Knowledge Organization)

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection...

Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Advanced Analytics with Spark: Patterns for Learning from Data at Scale

In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.

You’ll start with an...

Harwood-Nuss' Clinical Practice of Emergency Medicine (Clinical Practice of Emergency Medicine (Harwood-Nuss))
Harwood-Nuss' Clinical Practice of Emergency Medicine (Clinical Practice of Emergency Medicine (Harwood-Nuss))

Organized for easy reference, this comprehensive, concise, and clinically focused text covers all aspects of emergency medicine. Chapters follow a consistent, structured format—key points, clinical presentation, differential diagnosis, evaluation, management, disposition, and common pitfalls.

This edition places...

Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks.

In Functional...
Fundamentals of Clinical Research: Bridging Medicine, Statistics and Operations (Statistics for Biology and Health)
Fundamentals of Clinical Research: Bridging Medicine, Statistics and Operations (Statistics for Biology and Health)

Here is a new book on methods and issues in clinical research. Its objectives can be summarized in three points. 1. Integrate medical and statistical components of clinical research. 2. Do justice to the operational and practical requirements of clinical research. 3. Give space to the ethical implications of methodological issues in clinical...

Mastering Social Media Mining with R
Mastering Social Media Mining with R

Extract valuable data from your social media sites and make better business decisions using R

About This Book

  • Explore the social media APIs in R to capture data and tame it
  • Employ the machine learning capabilities of R to gain optimal business value
  • A hands-on guide with...
Statistical Analysis with R
Statistical Analysis with R

This is a practical, step by step guide that will help you to quickly become proficient in the data analysis using R. The book is packed with clear examples, screenshots, and code to carry on your data analysis without any hurdle. If you are a data analyst, business or information technology professional, student, educator, researcher, or...

Python 3 Text Processing with NLTK 3 Cookbook
Python 3 Text Processing with NLTK 3 Cookbook

Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

About This Book

  • Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
  • Learn how to do custom sentiment analysis and named entity...
NumPy 1.5 Beginner's Guide
NumPy 1.5 Beginner's Guide

An action packed guide for the easy-to-use, high performance, free open source NumPy mathematical library using real-world examples

  • The first and only book that truly explores NumPy practically
  • Perform high performance calculations with clean and efficient NumPy code
  • Analyze large data sets...
Automated Trading with R: Quantitative Research and Platform Development
Automated Trading with R: Quantitative Research and Platform Development

Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play.

Automated Trading with R explains automated trading, starting with its...

Algebraic Shift Register Sequences
Algebraic Shift Register Sequences

Pseudo-random sequences are essential ingredients of every modern digital communication system including cellular telephones, GPS, secure internet transactions and satellite imagery. Each application requires pseudo-random sequences with specific statistical properties. This book describes the design, mathematical analysis and implementation...

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