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Developing Bots with Microsoft Bots Framework: Create Intelligent Bots using MS Bot Framework and Azure Cognitive Services

Apress, 2017

Develop Intelligent Bots using Microsoft Bot framework (C# and Node.js), Visual Studio Enterprise & Code, Microsoft Azure and Cognitive Services. This book shows you how to develop great Bots, publish to Azure and register with Bot portal so that customers can connect and communicate using famous...

Learning Robotics using Python

Packt Publishing, 2015

Design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV!

About This Book

Design, simulate, build and program an interactive autonomous mobile robot

Program Robot Operating System using Python

Get...

DSP Applications Using C and the TMS320C6x DSK

John Wiley & Sons, 2002

Digital signal processors, such as the TMS320 family of processors, are used in a wide range of applications, such as in communications, controls, speech processing, and so on. They are used in fax transmission, modems, cellular phones, and other devices. These devices have also found...

Smart Home Automation with Linux and Raspberry Pi

Apress, 2013

Smart Home Automation with Linux and Raspberry Pi shows you how to automate your lights, curtains, music, and more, and control everything via a laptop or mobile phone.

You'll learn how to use Linux, including Linux on Raspberry Pi, to control appliances and everything from kettles to curtains, including how to hack...

Advances in Applied Artificial Intelligence (Computational Intelligence and Its Applications)

Idea Group Publishing, 2006

Discussion on the nature of intelligence long pre-dated the development of the
electronic computer, but along with that development came a renewed burst of investigation
into what an artificial intelligence would be. There is still no consensus on how
to define artificial intelligence: Early definitions tended to discuss the type of...

Designing Across Senses: A Multimodal Approach to Product Design

O'Reilly, 2018

Today we have the ability to connect speech, touch, haptic, and gestural interfaces into products that engage several human senses at once. This practical book explores examples from current designers and devices to describe how these products blend multiple interface modes together into a cohesive user experience.

...

Introduction to Artificial Neural Systems

West Publishing Company, 1992

The recent resurgence of interest in neural networks has its roots in the recognition that the brain performs computations in a different manner than do conventional digital computers. Computers are extremely fast and precise at executing sequences of instructions that have been formulated for them. A human information processing system is composed...

Python Machine Learning Cookbook

Packt Publishing, 2016

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

Understand which algorithms to use in a given context with the help of this exciting recipe-based guide

Learn about perceptrons and see how they are used to build neural...

Anatomy of a Robot (TAB Robotics)

McGraw-Hill, 2003

This work looks under the hood of all robotic projects, stimulating teachers, students, and hobbyists to learn more about the gamut of areas associated with control systems and robotics. It offers a unique presentation in providing both theory and philosophy in a technical yet entertaining way.

UNDER THE HOOD OF A...

English Grammar Workbook For Dummies

For Dummies, 2006

Get some good grammar practice — and start speaking and writing well!

Good grammar is important, whether you want to advance your career, boost your GPA, or increase your SAT or ACT score. Practice is the key to improving your grammar skills, and that's what this workbook is all about. Open it and...

Deep Learning: Practical Neural Networks with Java

Packt Publishing, 2017

Build and run intelligent applications by leveraging key Java machine learning libraries

About This Book

Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.

Explore a broad variety of data processing, machine learning,...

Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)

Springer, 2012

Polynomial optimization, as its name suggests, is used to optimize a generic multivariate polynomial function, subject to some suitable polynomial equality and/or inequality constraints. Such problem formulation dates back to the nineteenth century when the relationship between nonnegative polynomials and sum of squares (SOS) was...

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