• Find, manipulate, and analyze your data using the Python 3.5 libraries
• Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
• An easy-to-follow guide with realistic examples that are frequently used in real-world data...

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving...

Powerful, Flexible Tools for a Data-Driven World
As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and...

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Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing...

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,...

• Unlock and discover how to tackle clusters of raw data through practical examples in R
• Explore your data and create your own models from scratch
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• Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes
• Concise step-by-step instructions to teach you...