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Principles of Data Mining (Adaptive Computation and Machine Learning)
Principles of Data Mining (Adaptive Computation and Machine Learning)

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly...

Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)
Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)

Humans receive the great majority of information about their environment through sight, and at least 50% of the human brain is dedicated to vision. Vision is also a key component for building artificial systems that can perceive and understand their environment. Computer vision is likely to change society in many ways; for example, it...

Data Structures & Algorithms in Swift: Implementing practical data structures with Swift 4
Data Structures & Algorithms in Swift: Implementing practical data structures with Swift 4

Learn data structures and algorithms in Swift! Understanding how data structures and algorithms work in code is crucial for creating efficient and scalable apps. Swift’s Standard Library has a small set of general purpose collection types, yet they definitely don’t cover every case! In this book, you’ll learn how to...

Machine Learning in Action
Machine Learning in Action

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Learn to implement complex data structures and algorithms using Python

Key Features

  • Understand the analysis and design of fundamental Python data structures
  • Explore advanced Python concepts such as Big O notation and dynamic programming
  • Learn functional...
Advanced Data Structures
Advanced Data Structures
Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within. This text examines efficient ways to search and update sets of...
Beginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner
Beginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner

Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.

Key Features

  • Explains in detail different algorithms and data...
How to Cheat in 3ds Max 2011: Get Spectacular Results Fast
How to Cheat in 3ds Max 2011: Get Spectacular Results Fast

THE TECHNIQUES DESCRIBED in this book assume a basic grasp of 3ds Max. But with so many options to choose from, it’s easy to get lost in all the tools, buttons, and menus.

Not all features are created equal. This chapter goes over the fundamentals of 3ds Max with an eye toward the most important tools and how you...

Beginning XML (Programmer to Programmer)
Beginning XML (Programmer to Programmer)
Beginning XML provides a complete course in the Extensible Markup Language (XML) with an unusually gradual learning curve. In fact, the introduction states that the book is "for people who know that it would be a pretty good idea to learn the language, but aren't 100 percent sure why." Despite its recognition of the...
Machine Learning with R - Second Edition
Machine Learning with R - Second Edition

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

LINQ in Action
LINQ in Action
LINQ, Language INtegrated Query, is a new extension to the Visual Basic and C# programming languages designed to simplify data queries and database interaction. It addreses O/R mapping issues by making query operations like SQL statements part of the programming language. It also offers built-in support for querying in-memory collections like...
Discrete Mathematics for Computer Scientists
Discrete Mathematics for Computer Scientists

Many colleges and universities offer a course in discrete mathematics. Students taking these courses are from many disciplines, one of the largest being computer science. As a part of the Mathematics Across the Curriculum project at Dartmouth, supported by the National Science Foundation,1 we proposed to create a discrete mathematics...

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