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Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
Underland: A Deep Time Journey
Underland: A Deep Time Journey

National Bestseller • New York Times “100 Notable Books of the Year” • NPR “Favorite Books of 2019” • Guardian “100 Best Books of the 21st Century” • Winner of the National Outdoor Book Award

From the best-selling,
...

PHP 7 Data Structures and Algorithms: Implement linked lists, stacks, and queues using PHP
PHP 7 Data Structures and Algorithms: Implement linked lists, stacks, and queues using PHP

Key Features

  • Gain a complete understanding of data structures using a simple approach
  • Analyze algorithms and learn when you should apply each solution
  • Explore the true potential of functional data structures

Book Description

PHP has always...

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...
Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques
Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques

Bring a new degree of interconnectivity to your world by building your own intelligent robots

Key Features

  • Leverage fundamentals of AI and robotics
  • Work through use cases to implement various machine learning algorithms
  • Explore Natural Language Processing...
Advanced C and C++ Compiling
Advanced C and C++ Compiling

Learning how to write C/C++ code is only the first step. To be a serious programmer, you need to understand the structure and purpose of the binary files produced by the compiler: object files, static libraries, shared libraries, and, of course, executables.

Advanced C and C++ Compiling explains the build process in
...

Mastering Machine Learning with R
Mastering Machine Learning with R

Master machine learning techniques with R to deliver insights for complex projects

About This Book

  • Get to grips with the application of Machine Learning methods using an extensive set of R packages
  • Understand the benefits and potential pitfalls of using machine learning methods
  • ...
Mastering Embedded Linux Programming
Mastering Embedded Linux Programming

Key Features

  • Create efficient and secure embedded devices using Linux
  • Minimize project costs by using open source tools and programs
  • Explore each component technology in depth, using sample implementations as a guide

Book Description

Mastering Embedded Linux...

Computational Intelligence Paradigms: Theory & Applications using MATLAB
Computational Intelligence Paradigms: Theory & Applications using MATLAB

Offering a wide range of programming examples implemented in MATLAB®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...

Object-Oriented Data Structures In Java
Object-Oriented Data Structures In Java
This book teaches the classic data structures with an informal, yet rigorous, approach; it includes the appropriate object-oriented concepts and makes use of the appropriate Java constructs.

Welcome to the first edition of Object-Oriented Data Structures using Java. This book has been written to present the algorithmic, programming,
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Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
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...

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