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Algorithms in a Nutshell: A Practical Guide
Algorithms in a Nutshell: A Practical Guide

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...

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Data Structures and Algorithm Analysis in C++, Third Edition (Dover Books on Computer Science)
Data Structures and Algorithm Analysis in C++, Third Edition (Dover Books on Computer Science)
With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses Microsoft C++ as the programming language and is suitable for second-year data structure courses and computer science courses in...
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)

Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in computer science, operations research, applied mathematics and engineering. The book contains eleven chapters written by...

A Modern Approach to Regression with R (Springer Texts in Statistics)
A Modern Approach to Regression with R (Springer Texts in Statistics)

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We...

Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)

This book discusses the computational approach in modern statistical physics in a clear and accessible way and demonstrates its close relation to other approaches in theoretical physics. Individual chapters focus on subjects as diverse as the hard sphere liquid, classical spin models, single quantum particles and Bose-Einstein condensation....

Data Mining in Agriculture (Springer Optimization and Its Applications)
Data Mining in Agriculture (Springer Optimization and Its Applications)

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining...

Java in 21 Days, Sams Teach Yourself (Covering Java 8) (7th Edition)
Java in 21 Days, Sams Teach Yourself (Covering Java 8) (7th Edition)

In just 21 days you can acquire the knowledge and skills necessary to develop applications on your computer and apps that run on Android phones and tablets. With this complete tutorial you’ll quickly master the basics and then move on to more advanced features and concepts.

Completely updated for Java 8,...

Docker Bootcamp
Docker Bootcamp

Fast, intensive, and effective Docker learning

About This Book

  • Get well-versed with Docker in 7 days
  • Identify and resolve common problems faced by users while working with Docker
  • A fast-paced guide that will focus on all the core Docker functionalities

...

Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Python Projects
Python Projects

A guide to completing Python projects for those ready to take their skills to the next level

Python Projects is the ultimate resource for the Python programmer with basic skills who is ready to move beyond tutorials and start building projects.

The preeminent guide to bridge the gap between
...

Programming Interviews Exposed: Secrets to Landing Your Next Job
Programming Interviews Exposed: Secrets to Landing Your Next Job
The most important thing we have to tell you is the same as in the first edition: You will get as much out of this book as you put into it. If you read this book cover to cover, you will learn something, but not nearly as much as you would if you take some time trying to work through the problems before you read the answers. ...
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