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Algorithms in a Nutshell: A Practical Guide

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Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance.

With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate.

With this book, you will:

  • Solve a particular coding problem or improve on the performance of an existing solution
  • Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
  • Get algorithmic solutions in C, C++, Java, and Python with implementation tips
  • Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
  • Discover the impact that similar design decisions have on different algorithms
  • Learn advanced data structures to improve the efficiency of algorithms
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Advanced Statistics Demystified
Advanced Statistics Demystified

TAKE THE "MEAN" OUT OF ADVANCED STATISTICS

Now anyone who has mastered basic statistics can easily take the next step up. In Advanced Statistics Demystified, experienced statistics instructor Larry J. Stephens provides an effective, anxiety-soothing, and totally painless way to learn advanced statistics --...

Machine Learning for Business: Using Amazon SageMaker and Jupyter
Machine Learning for Business: Using Amazon SageMaker and Jupyter
Summary
  • Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen
  • Think about the benefits of forecasting tedious business processes and back-office tasks
  • Envision quickly gauging customer...
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...


Info We Trust: How to Inspire the World with Data
Info We Trust: How to Inspire the World with Data

How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing.

Creating Info We Trust is a craft that puts the world into forms that are strong and true.  It begins with maps,...

Europe For Dummies (Dummies Travel)
Europe For Dummies (Dummies Travel)
Explore the best of Europe with confidence!

From London and Paris to Tuscany and Greece, Europe has enough cities and sights to last a lifetime. To make the most of your time, take this fun, straightforward guide with you — and experience new adventures in the Old World.

Discover

  • Down-to-earth...
Python Machine Learning Cookbook
Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

  • Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
  • Learn about perceptrons and see how they are used to build neural...
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