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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
  • ...
Head First Statistics
Head First Statistics
Wouldn't it be great if there were a statistics book that made histograms, probability distributions, and chi square analysis more enjoyable than going to the dentist? Head First Statistics brings this typically dry subject to life, teaching you everything you want and need to know about statistics through engaging, interactive, and...
Dynamic Speech Models (Synthesis Lectures on Speech and Audio Processing)
Dynamic Speech Models (Synthesis Lectures on Speech and Audio Processing)
In a broad sense, speech dynamics are time-varying or temporal characteristics in all stages of the human speech communication process. This process, sometimes referred to as speech chain [1], starts with the formation of a linguistic message in the speaker’s brain and ends with the arrival of the message in the...
Steding's and Virágh's Scanning Electron Microscopy Atlas of the Developing Human Heart
Steding's and Virágh's Scanning Electron Microscopy Atlas of the Developing Human Heart

This atlas comprises a complete and extensive exposure of the spatial and temporal aspects of human cardiac development as seen with scanning electron microscopy. Apart from serving as a unique overview on cardiac development in the human embryo, this atlas gives an updated morphological reference of cardiac embryology for topographic...

Introduction to 64 Bit Intel Assembly Language Programming for Linux
Introduction to 64 Bit Intel Assembly Language Programming for Linux
The Intel CPU architecture has evolved over 3 decades from a 1 6 bit CPU with no memory protection, through a period with 32 bit processors with sophisticated architectures into the current series of processors which support all the old modes of operation in addition to a greatly expanded 64 bit mode of operation. Assembly...
Clinical Neuropathology: Text and Color Atlas
Clinical Neuropathology: Text and Color Atlas

Divided into fourteen chapters, this text and full-color atlas is a complete overview of the pathologic and clinical aspects of neurologic diseases. Clinical Neuropathology is written for practicing neurologists and pathologists, as well as residents and fellows preparing for the neurology and pathology boards. It provides information...

Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as...

Star Schema The Complete Reference
Star Schema The Complete Reference

The definitive guide to dimensional design for your data warehouse

Learn the best practices of dimensional design. Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a...

Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture
Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world,...

Subspace Methods for System Identification
Subspace Methods for System Identification
System identification provides methods for the sensible approximation of real systems using a model set based on experimental input and output data. Tohru Katayama sets out an in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results. The text is...
Hadoop in Action
Hadoop in Action

Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data...

Statistics II for Dummies (Math & Science)
Statistics II for Dummies (Math & Science)
So you’ve gone through some of the basics of statistics. Means, medians, and standard deviations all ring a bell. You know about surveys and experiments and the basic ideas of correlation and simple regression. You’ve studied probability, margin of error, and a few hypothesis tests and confidence intervals. Are you ready to load your...
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