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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Learning Network Programming with Java
Learning Network Programming with Java

Key Features

  • Learn to deliver superior server-to-server communication through the networking channels
  • Gain expertise of the networking features of your own applications to support various network architectures such as client/server and peer-to-peer
  • Explore the issues that impact scalability,...
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
  • ...
Quantum Walks and Search Algorithms (Quantum Science and Technology)
Quantum Walks and Search Algorithms (Quantum Science and Technology)

This book addresses an interesting area of quantum computation called quantum walks, which play an important role in building quantum algorithms, in particular search algorithms. Quantum walks are the quantum analogue of classical random walks.

It is known that quantum computers have great power for searching unsorted databases....

SOA Made Simple
SOA Made Simple

Discover the true meaning behind the buzzword that is 'Service Oriented Architecture'

  • Get to grips with clear definitions of 'Service' and 'Architecture' to understand the full SOA picture
  • Read about SOA in simple terms from Oracle ACE Directors for SOA and Middleware in this book and...
Graph Theory: A Problem Oriented Approach (Mathematical Association of America Textbooks)
Graph Theory: A Problem Oriented Approach (Mathematical Association of America Textbooks)

Graph Theory presents a natural, reader-friendly way to learn some of the essential ideas of graph theory starting from first principles. The format is similar to the companion text, Combinatorics: A Problem Oriented Approach also by Daniel A. Marcus, in that it combines the features of a textbook with those of a problem...

Thinking as Computation: A First Course (MIT Press)
Thinking as Computation: A First Course (MIT Press)

This book guides students through an exploration of the idea that thinking might be understood as a form of computation. Students make the connection between thinking and computing by learning to write computer programs for a variety of tasks that require thought, including solving puzzles, understanding natural language, recognizing objects...

Mastering Redmine
Mastering Redmine

Redmine is an open source gem for project management, and this book shows you how to exploit its features to the max. Written as a practical tutorial, it's also the perfect reference guide to have by your side.

Overview

  • Use Redmine in the most effective manner and learn to master it.
  • ...
Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many di erent sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing the knowledge as to...
Introduction to Clustering Large and High-Dimensional Data
Introduction to Clustering Large and High-Dimensional Data
"...this book may serve as a useful reference for scientists and engineers who need to understand the concepts of clustering in general and/or to focus on text mining applications. It is also appropriate for students who are attending a course in pattern recognition, data mining, or classification and are interested in learning more about...
Data Science from Scratch: First Principles with Python
Data Science from Scratch: First Principles with Python

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from...

Mastering Concurrency Programming with Java 8
Mastering Concurrency Programming with Java 8

Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API

About This Book

  • Implement concurrent applications using the Java 8 Concurrency API and its new components
  • Improve the performance of your applications or process more data at the same time,...
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