Be an adaptive thinker that leads the way to Artificial Intelligence
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. This book 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, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop 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.