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IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code.

It presents artificial intelligence as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers. In the last decades we have witnessed the emergence of artificial intelligence…

iOS® Developer Notes for Professionals book is compiled from Stack Overflow Documentation. (874 pages, published on May 2018)

A review of the product for research, educational and recommendations. ⚠ Recommendation in beta release. In analysis state… ⌛ Main website: madewithml.com Summary Made With ML is a platform for the ML community to discover, build and share projects. Our goal is to create a…

If you work in analytics or data science, like we do, you are familiar with the fact that data is being generated all the time at ever faster rates. (You may even be a little weary of people pontificating about this fact.) Analysts are often…

Android™ Notes for Professionals book is compiled from Stack Overflow Documentation. (1301 pages, published on May 2018)

Today, data scientists can choose from an overwhelming collection of exciting technologies and programming languages. Python, R, Hadoop, Julia, Pig, Hive, and Spark are but a few examples. You may already have experience in one or more of these. If so, then why should you…

El diseño del kit de herramientas permite trabajar en paralelo entre más de 70 idiomas, utilizando el formalismo de Dependencias Universales. Stanza está construido con componentes de red neuronal de alta precisión, que también permiten una capacitación y evaluación eficientes con sus propios datos anotados.

Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this book you’ll learn how to turn your code into packages that others can easily download and use. Writing…

In Implementing a Custom Language Succinctly, Succinctly series author Vassili Kaplan demonstrated how to create a customized programming language. Now, he returns to showcase how you can use that language to build fully functional mobile apps. In Writing Native Mobile Apps in a Functional Language…

Machine learning uses tools from a variety of mathematical fields. This document is an attempt to provide a summary of the mathematical background needed.

The R programming language on its own is a powerful tool that can perform thousands of statistical tasks, but by writing programs in R, you gain tremendous power and flexibility to extend its base functionality. Senior Succinctly series author and editor James McCaffrey shows you…