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Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI...
Principles of Data Mining (Adaptive Computation and Machine Learning)
Principles of Data Mining (Adaptive Computation and Machine Learning)

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly...

Introduction to Neural Computing
Introduction to Neural Computing

Since the first edition of this book was published, much has happened in the field of neural networks. The authors reflect these changes by updating and introducing material on new developments including neurocontrol, pattern analysis and dynamic systems. This book should be useful for undergraduate students of neural networks.

...
Multiplexed Networks for Embedded Systems: CAN, LIN, FlexRay, Safe-by-Wire...
Multiplexed Networks for Embedded Systems: CAN, LIN, FlexRay, Safe-by-Wire...

Multiplexed networks are essential for the unified, efficient and cost-effective exchange of electronic information within embedded component systems. This is especially important in automotive manufacturing as vehicles become increasingly reliant on robust electronic networks and systems for improved reliability, anti-lock brake systems (ABS),...

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
Software Testing and Quality Assurance: Theory and Practice
Software Testing and Quality Assurance: Theory and Practice
A superior primer on software testing and quality assurance, from integration to execution and automation

This important new work fills the pressing need for a user-friendly text that aims to provide software engineers, software quality professionals, software developers, and students with the fundamental developments in testing theory and...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
Cabling: The Complete Guide to Copper and Fiber-Optic Networking
Cabling: The Complete Guide to Copper and Fiber-Optic Networking

Two books in one! Complete coverage of data cabling and fiber optics makes this the most comprehensive cabling book on the market

With the growing demand for fiber optics in large-scale communications networks, network professionals need complete, up-to-the-minute information. The fourth edition of this popular guide provides you with...

Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
Wireless Internet Handbook: Technologies, Standards, and Applications
Wireless Internet Handbook: Technologies, Standards, and Applications

Wireless applications are definitely the next big thing in communications. Millions of people around the world use the Internet every day—to stay in touch with remote locations, follow the stock market, keep up with the news, check the weather, make travel plans, conduct business, shop, entertain themselves, and learn. The logical next...

Fixed-Mobile Wireless Networks Convergence: Technologies, Solutions, Services
Fixed-Mobile Wireless Networks Convergence: Technologies, Solutions, Services
This practical book is for anyone who needs to understand the solutions that allow multimedia communications between mobile networks and fixed wireless communications. It presents the fundamentals of individual fixed and mobile wireless technologies in terms of architectures, standards, management capabilities and quality of service issues, is...
SHARKS in the MOAT: How to Create Truly Secure Software
SHARKS in the MOAT: How to Create Truly Secure Software
Believe it or not, there is a striking similarity between medieval castle design and how we protect networks and data in the 21st century. By examining how our ancestors fought off invading armies, it becomes much easier to understand the latest strategies for keeping hackers at-bay. This book is designed for anyone who wants to understand how...
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