- It is better to wait until you have a top quality product before putting it on the market? (Yes | No)
- Considering the investment made, a new product should always be priced high to reach the top segment of the market. (Yes | No)
- Inventing a new solution will make it known in itself. (Yes | No)
- Artificial Intelligence can solve most problems without using standard non-learning algorithms. (Yes | No)
- Google Translate can translate all languages in a satisfactory way. (Yes | No)
- If you are not creative, it is no use trying to innovate. (Yes | No)
- If you are not a linguist, it is no use bothering with trying to improve Google Translate. (Yes | No)
- Translation is too complicated to understand. (Yes | No)
- Artificial intelligence has already reached its limits. (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