- Can a human beat a chess engine? (Yes | No)
- Humans can estimate decisions better than machines with intuition when it comes to large volumes of data. (Yes | No)
- Building a reinforcement learning program with a Q function is a feat in itself. Using the results afterward is useless. (Yes | No)
- Supervised learning decision tree functions can be used to verify that the result of the unsupervised learning process will produce reliable, predictable results. (Yes | No)
- The results of a reinforcement learning program can be used as input to a scheduling system by providing priorities. (Yes | No)
- Can artificial Intelligence software think like humans? (Yes | No)
Artificial Intelligence By Example
By :
Artificial Intelligence By Example
By:
Overview of this book
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.
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Current Title:
Artificial Intelligence By Example
Table of Contents (19 chapters)
Preface
Free Chapter
Become an Adaptive Thinker
Think like a Machine
Apply Machine Thinking to a Human Problem
Become an Unconventional Innovator
Manage the Power of Machine Learning and Deep Learning
Don't Get Lost in Techniques – Focus on Optimizing Your Solutions
When and How to Use Artificial Intelligence
Revolutions Designed for Some Corporations and Disruptive Innovations for Small to Large Companies
Getting Your Neurons to Work
Applying Biomimicking to Artificial Intelligence
Conceptual Representation Learning
Automated Planning and Scheduling
AI and the Internet of Things (IoT)
Optimizing Blockchains with AI
Cognitive NLP Chatbots
Improve the Emotional Intelligence Deficiencies of Chatbots
Quantum Computers That Think
Answers to the Questions
Customer Reviews