Artificial Intelligence By Example Develop machine intelligence from scratch using real artificial intelligence use cases 1st Edition by Denis Rothman ISBN 9781788990547 1788990544

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Product details:

ISBN 10:  1788990544

ISBN 13: 9781788990547

Author:  Denis Rothman

Publisherx27s Note: This edition from 2018 is outdated! A new second edition, completely updated for Python 3.x and its latest libraries, and TensorFlow 2.x, is now available. It features new and more practical examples executed on various platforms like TensorBoard, IBMQ, Google Dialogflow, Quirk, and more.

Key Features

AI-based examples to guide you in designing and implementing machine intelligence

Develop your own method for future AI solutions

Acquire advanced AI, machine learning, and deep learning design skills

Book Description

Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies.

Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks.

You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own.

By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.

What you will learn

Use adaptive thinking to solve real-life AI case studies

Rise beyond being a modern-day factory code worker

Acquire advanced AI, machine learning, and deep learning designing skills

Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology

Understand future AI solutions and adapt quickly to them

Develop out-of-the-box thinking to face any challenge the market presents

Who this book is for

Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of artificial intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book.

Table of contents:

 Chapter 1: Become an Adaptive Thinker

Chapter 2: Think like a Machine

Chapter 3: Apply Machine Thinking to a Human Problem

Chapter 4: Become an Unconventional Innovator

Chapter 5: Manage the Power of Machine Learning and Deep Learning
Technical requirements

Chapter 6: Don’t Get Lost in Techniques – Focus on Optimizing Your
Solutions

Chapter 7: When and How to Use Artificial Intelligence

Chapter 8: Revolutions Designed for Some Corporations and
Disruptive Innovations for Small to Large Companies

Chapter 9: Getting Your Neurons to Work

Chapter 10: Applying Biomimicking to Artificial Intelligence

Chapter 11: Conceptual Representation Learning

Chapter 12: Automated Planning and Scheduling

Chapter 13: Al and the Internet of Things (loT)

Chapter 14: Optimizing Blockchains with Al

Chapter 15: Cognitive NLP Chatbots

Chapter 16: Improve the Emotional Intelligence Deficiencies of
Chatbots

Chapter 17: Quantum Computers That Think

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Tags: Denis Rothman, Artificial Intelligence, Example, Machine Intelligence, Scratch