Android™ Notes for Professionals book
Android™ Notes for Professionals book is compiled from Stack Overflow Documentation. (1301 pages, published on May 2018)
Inside The wall
Data Science at the Command Line
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 still care about the command line for doing data science? What does the command line have to offer that these other technologies and programming languages do not?
Stanza – una biblioteca de Python NLP para muchos idiomas humanos
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.
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R Packages
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 a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn’t matter if your first version isn’t perfect as long as the next version is better. This is where we are developing the 2nd edition of this book.
Writing Native Mobile Apps in a Functional Language Succinctly
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 Succinctly, you will build off the skills you’ve already developed to begin creating applications that you can put to immediate use.
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Mathematics for Machine Learning
Machine learning uses tools from a variety of mathematical fields. This document is an attempt to provide a summary of the mathematical background needed.
R Programming Succinctly
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 how in R Programming Succinctly.
Business Process Flow Mapping Succinctly
In a company, when the business process is defined, employees feel confident in their roles. They understand expectations and can easily identify when something is amiss or requires escalation. In Business Process Flow Mapping Succinctly, Erica Quigley will show you the activities that should occur in order to completely define a business process so you can identify and rectify gaps in communication, procedures, and teams. You will also learn a simple way to document the process so the project team working with you can feel confident in what they are being asked to execute.
Scala Succinctly
Chris Rose guides readers through the basics of Scala, from installation to syntax shorthand, so that they can get up and running quickly.
Docker Succinctly
Containers have revolutionized software development, allowing developers to bundle their applications with everything they need, from the operating system up, into a single package. Docker is one of the most popular platforms for containers, allowing them to be hosted on-premises or on the cloud, and to run on Linux, Windows, and Mac machines. With Docker Succinctly by Elton Stoneman, learn the basics of building Docker images, sharing them on the Docker Hub, orchestrating containers to deliver large applications, and much more.