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An Introduction to Neural Networks
An Introduction to Neural Networks
Covers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.

This book grew out of a set of course notes for a neural networks module given as part of a
...
Hands-On TypeScript for C# and .NET Core Developers: Transition from C# to TypeScript 3.1 and build applications with ASP.NET Core 2
Hands-On TypeScript for C# and .NET Core Developers: Transition from C# to TypeScript 3.1 and build applications with ASP.NET Core 2

Discover how TypeScript allows you to build modern client-rich applications, thanks to its object-oriented capabilities and third-party tools like Angular and Web APIs

Key Features

  • Make a seamless transition to using TypeScript 3.1 in your development stack
  • Work with...
Linear Algebra: A Geometric Approach
Linear Algebra: A Geometric Approach
One of the most enticing aspects of mathematics, we have found, is the interplay of ideas from seemingly disparate disciplines of the subject. Linear algebra provides a beautiful illustration of this, in that it is by nature both algebraic and geometric. ...
Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code
Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

You Will Learn Python!

 

Zed Shaw has perfected the world's best system for learning Python. Follow it and you will succeed-just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline,...

Modern API Design with ASP.NET Core 2: Building Cross-Platform Back-End Systems
Modern API Design with ASP.NET Core 2: Building Cross-Platform Back-End Systems
Use ASP.NET Core 2 to create durable and cross-platform web APIs through a series of applied, practical scenarios. Examples in this book help you build APIs that are fast and scalable. You’ll progress from the basics of the framework through to solving the complex problems encountered in implementing secure RESTful services....
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Batman and Ethics
Batman and Ethics

Batman has been one of the world’s most beloved superheroes since his first appearance in Detective Comics #27 in 1939. Clad in his dark cowl and cape, he has captured the imagination of millions with his single-minded mission to create a better world for the people of Gotham City by fighting crime, making use of expert...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Mastering Reverse Engineering: Re-engineer your ethical hacking skills
Mastering Reverse Engineering: Re-engineer your ethical hacking skills

Implement reverse engineering techniques to analyze software, exploit software targets, and defend against security threats like malware and viruses.

Key Features

  • Analyze and improvise software and hardware with real-world examples
  • Learn advanced debugging and patching...
Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)
Artificial Intelligence: A New Synthesis (The Morgan Kaufmann Series in Artificial Intelligence)

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and...

Learning Programming using MATLAB (Synthesis Lectures on Electrical Engineering)
Learning Programming using MATLAB (Synthesis Lectures on Electrical Engineering)
Why learn programming? There are several answers to that. Computers are ubiquitous—your car, your mp3 player, the orbiting satellites which provide us with the ability to communicate and the automatic coffee maker all use a computer of some sort. Andcomputers require programming to function. Knowing how to program provides us with a bit of...
Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development, Third Edition
Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development, Third Edition

Applying UML and Patterns is the world's #1 business and college introduction to "thinking in objects"and using that insight in real-world object-oriented analysis and design. Building on two widely acclaimed previous editions, Craig Larman has updated this book to fully reflect the new...

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