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Python Data Science Handbook: Essential Tools for Working with Data
Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,...

Polymorphism in Java: Methods and polymorphic algorithms applied to computer games
Polymorphism in Java: Methods and polymorphic algorithms applied to computer games
The creation of polymorphic algorithms is a necessary skill for programmers who intend to write reusable code. This book stands out for teaching programming based on polymorphism. Abundant examples in Java code and illustrative graphics of the main ideas related to the topic: Polymorphism in Java. The book "Polymorphism in Java" aims...
Good Habits for Great Coding: Improving Programming Skills with Examples in Python
Good Habits for Great Coding: Improving Programming Skills with Examples in Python

Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more. 

Taking an informal, conversational tone,...

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...

Sampling Algorithms (Springer Series in Statistics)
Sampling Algorithms (Springer Series in Statistics)
This book is based upon courses on sampling algorithms. After having used scattered notes for several years, I have decided to completely rewrite the material in a consistent way. The books of Brewer and Hanif (1983) and H´ajek (1981) have been my works of reference. Brewer and Hanif (1983) have drawn up an...
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...

Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press)
Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press)

A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.

In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data...

Deep Learning: Practical Neural Networks with Java
Deep Learning: Practical Neural Networks with Java

Build and run intelligent applications by leveraging key Java machine learning libraries

About This Book

  • Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.
  • Explore a broad variety of data processing, machine learning,...
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)
Genetic algorithms (GAs) are randomized search and optimization techniques guided by the principles of evolution and natural genetics; they have a large amount of implicit parallelism. GAs perform multimodal search in complex landscapes and provide near-optimal solutions for objective or tness func tion of an...
Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Advances in Intelligent Systems and Computing)
Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Advances in Intelligent Systems and Computing)

This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation &...

Multicore DSP: From Algorithms to Real-time Implementation on the TMS320C66x SoC
Multicore DSP: From Algorithms to Real-time Implementation on the TMS320C66x SoC

The only book to offer special coverage of the fundamentals of multicore DSP for implementation on the TMS320C66xx SoC

This unique book provides readers with an understanding of the TMS320C66xx SoC as well as its constraints. It offers critical analysis of each element, which not only broadens their knowledge of...

Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

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