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Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...
Processor Design: System-On-Chip Computing for ASICs and FPGAs
Processor Design: System-On-Chip Computing for ASICs and FPGAs
rocessor Design addresses the design of different types of embedded, firmware-programmable computation engines. Because the design and customization of embedded processors has become a mainstream task in the development of complex SoCs (Systems-on-Chip), ASIC and SoC designers must master the integration and development of processor...
Software Testing: Concepts and Operations (Quantitative Software Engineering Series)
Software Testing: Concepts and Operations (Quantitative Software Engineering Series)

Explores and identifies the main issues, concepts, principles and evolution of software testing, including software quality engineering and testing concepts, test data generation, test deployment analysis, and software test management

This book examines the principles, concepts, and processes that are fundamental to
...

TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Mastering OpenStack
Mastering OpenStack

Design, deploy, and manage a scalable OpenStack infrastructure

About This Book

  • Learn how to design and deploy an OpenStack private cloud using automation tools and best practices
  • Gain valuable insight into OpenStack components and new services
  • Explore the opportunities to...
Solidity Programming Essentials: A beginner's guide to build smart contracts for Ethereum and blockchain
Solidity Programming Essentials: A beginner's guide to build smart contracts for Ethereum and blockchain

Learn the most powerful primary programming language for writing smart contracts and discover how to write, deploy, and test smart contracts in Ethereum

Key Features

  • Get up and running with the Solidity programming language
  • Use Solidity as a scripting language to build...
Beer: Tap Into the Art and Science of Brewing
Beer: Tap Into the Art and Science of Brewing

"Brilliant! There has been an unfilled market for this type of book. . . . Happily, this book . . .is by a wide margin the best reference now available . . . The book is very well written. It has a light, almost breezy style that is mixed with a subtle yet attractively understated British wit. It is above all a great read that is hard to...

Cybersecurity for Hospitals and Healthcare Facilities: A Guide to Detection and Prevention
Cybersecurity for Hospitals and Healthcare Facilities: A Guide to Detection and Prevention

Learn how to detect and prevent the hacking of medical equipment at hospitals and healthcare facilities. A cyber-physical attack on building equipment pales in comparison to the damage a determined hacker can do if he/she gains access to a medical-grade network as a medical-grade network controls the diagnostic, treatment, and life support...

Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...
Platform Embedded Security Technology Revealed: Safeguarding the Future of Computing with Intel Embedded Security and Management Engine
Platform Embedded Security Technology Revealed: Safeguarding the Future of Computing with Intel Embedded Security and Management Engine

Platform Embedded Security Technology Revealed is an in-depth introduction to Intel’s platform embedded solution: the security and management engine. The engine is shipped inside most Intel platforms for servers, personal computers, tablets, and smartphones. The engine realizes advanced security and management...

An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)
An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)

This text is a graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence, and the construction of a new generation of intelligent computers. The book is divided into four...

Docker Cookbook: Solutions and Examples for Building Distributed Applications
Docker Cookbook: Solutions and Examples for Building Distributed Applications

Whether you’re deploying applications on premise or in the cloud, this cookbook provides developers, operators, and IT professionals with more than 130 proven recipes for working with Docker.

With these practical solutions, experienced developers with no previous knowledge of Docker will be able to package and...

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