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Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new...
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers...
Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python
Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.

The overall...

Modern C Quick Syntax Reference: A Pocket Guide to the Language, APIs, and Library
Modern C Quick Syntax Reference: A Pocket Guide to the Language, APIs, and Library

Discover how C's efficiency makes it a popular choice in a wide variety of applications and operating systems with special applicability to wearables, game programming, system level programming, embedded device/firmware programming and in Arduino and related electronics hobbies in this condensed code and syntax guide. This book...

Rapid Java Persistence and Microservices: Persistence Made Easy Using Java EE8, JPA and Spring
Rapid Java Persistence and Microservices: Persistence Made Easy Using Java EE8, JPA and Spring
Gain all the essentials you need to create scalable microservices, which will help you solve real challenges when deploying services into production. This book will take you through creating a scalable data layer with polygot persistence. You’ll cover data access and query patterns in Spring and JPA in high-performance...
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

Visual Studio Code Distilled: Evolved Code Editing for Windows, macOS, and Linux
Visual Studio Code Distilled: Evolved Code Editing for Windows, macOS, and Linux

Use Visual Studio Code to write and debug code quickly and efficiently on any platform, for any device, using any programming language, and on the operating system of your choice.

Visual Studio Code is an open source and cross-platform development tool that focuses on code editing across a variety of development...

iOS Code Testing: Test-Driven Development and Behavior-Driven Development with Swift
iOS Code Testing: Test-Driven Development and Behavior-Driven Development with Swift
Put into motion practical examples to master Test-Driven Development (TDD) and acceptance testing in Swift.

This book uses a pragmatic approach to writing well-tested code and provides techniques that can be used to retrofit tests to legacy code bases. You'll be introduced to basic principles of TDD, such as
...
Beginning Functional JavaScript: Functional Programming with JavaScript Using EcmaScript 6
Beginning Functional JavaScript: Functional Programming with JavaScript Using EcmaScript 6

Learn functional programming concepts using JavaScript ES6. You will learn concepts such as currying, partial functions, higher-order functions, and monads.

Programming languages have evolved from focusing on procedures to objects and now on function. JavaScript supports functional programming and allows developers...

NTP Security: A Quick-Start Guide
NTP Security: A Quick-Start Guide

Learn the risks associated with Network Time Protocol (NTP) security and how to minimize those risks while deploying and managing the protocol. You will be able to reduce the disruption of communication between servers on the network and the risk that the entire network will be taken offline.

NTP Security: A Quick-Start...

Translating Statistics to Make Decisions: A Guide for the Non-Statistician
Translating Statistics to Make Decisions: A Guide for the Non-Statistician

Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians―and also statisticians who present statistical reports to non-statisticians―must avoid if statistical results are to be correctly used for...

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