Algorithms in a Nutshell, 2nd Edition 
by George T. Heineman, Gary Pollice, Stanley Selkow
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 performan...
Price: $43.49 | Publisher: O'Reilly Media | Release: 2016
Introduction to Machine Learning with Python
by Sarah Guido, Andreas Muller
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.Y...
Price: $32.38 | Publisher: O'Reilly Media | Release: 2016
C++ Standard Library Quick Reference
by Peter Van Weert, Marc Gregoire
This quick reference is a condensed reference guide to the essential data structures, algorithms, and functions provided by the C++ Standard Library. More specifically, this is a compact collection of essential classes and functions, used by C++ programmers on a daily basis. The C++ Standard Library Quick Reference features core classes for strings, I/O streams, and various generic containers, as well as a ...
Price: $12.99 | Publisher: Apress | Release: 2016
by Dipanjan Sarkar
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you w...
Price: $18.99 | Publisher: Apress | Release: 2016
by Jake VanderPlas
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, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with ...
Price: $54.31 | Publisher: O'Reilly Media | Release: 2016
Practical Probabilistic Programming
by Avi Pfeffer, Stuart Russell
Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In this book, you'll immediately work on practical examples like building a spam filter, diagnosing computer system data problems, and recovering digital images. You'll discover probabilistic inference, where algorithms help make extended predictions about issues like social media usage. Along the w...
Price: $39.99 | Publisher: Manning | Release: 2016
F# for Machine Learning Essentials
by Sudipta Mukherjee
The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.If you want to learn how to use F# to build machine learning systems, then this is the book you want.Starting with an introduction to the several categorie...
Price: $39.99 | Publisher: Packt Publishing | Release: 2016
by Prateek Joshi, David Millan Escriva, Vinicius Godoy
Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation.Whether you are completely new to the concept of Computer Vision or have a basic understanding of it...
Price: $38.25 | Publisher: Packt Publishing | Release: 2016
by Ivan Idris
Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.Python Data Analysis Cookbook...
Price: $34.99 | Publisher: Packt Publishing | Release: 2016
Designing Machine Learning Systems with Python
by David Julian
Machine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of fields, including economics, the natural sciences, web development, and business modeling. In order to harness the power of these systems, it is essential that the practitioner develops a solid understanding of the underlying design principles.There are many reasons why machine learning models m...
Price: $34.99 | Publisher: Packt Publishing | Release: 2016