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Artificial intelligence will be the hottest and most requested field in 2021; most programmers want to work in AI, data science, and data analytics. AI is the study of the simulation of human intelligence operations on computer systems. The collection of information, its use and the approximation of conclusions are all examples of these processes. Problem solving, logic, planning, language processing, programming, and deep learning are all areas of study for AI. An artificial intelligence profession is defined by robotics, automation, and complex computer software and systems.
Let’s take a look at the list of the 12 best AI books you must read.
12 best books on artificial intelligence
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
Author: Peter Norvig
This book covers the advanced concepts of common lisp as it relates to the development of large AI systems. He reconstructs real and sophisticated AI programs using state-of-the-art common lisp, develops and debugs reliable practical applications, and demonstrates excellent programming style and key AI principles. It’s a great addition to general AI courses and a go-to reference for any seasoned programmer.
Basics of artificial intelligence and machine learning
Author: Dr Dheeraj Mehrotra
This book provides a deeper knowledge of artificial intelligence and machine learning as well as a technological foundation.
Artificial intelligence and machine learning
Author: Chandra SSV
This book is primarily intended for postgraduate computer engineering students. This book bridges the gap between AI and the difficult parameters of machine learning. It contains the most case studies and examples that have been developed. It encompasses different forms of learning, including reinforcement, supervised, unsupervised and statistical modeling, in addition to machine learning and artificial intelligence.
Artificial Intelligence Basics: A Non-Technical Introduction
Author: Tom Taulli
This book will provide you with a basic understanding of artificial intelligence and its implications. It provides a non-technical overview of key ideas including machine learning, natural language processing, deep learning, robotics, and more. In addition, the author discusses questions regarding the potential influence of AI on social trends, ethics, governments, corporate structures and daily life.
Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future
Author: Neil Wilkins
This book provides an overview of artificial intelligence as well as a hypothetical simulation of a living brain in a computer. The following topics are covered in this book:
- AI and growth hacking
- AI and fake news fix
- AI and Big Data
- AI and employment
- AI and the legal system
- AI and autonomous vehicles
- Confluence of interests
- AI myths
- Manipulation of the limbic system
- Motivation for the creation of AI
- Basic concepts
- IoT ecosystem
- Fighting the tech giants
- Seminal inventions
- Consumerism based on fear
- AI as a unique global religion
- Dietary advice by AI
- AI and loneliness
- AI and ethics
- IA and Social Credit
- AI hacking
- AI as sports referees
A first course in artificial intelligence
Author: Deepak Khemani
This book adopts a bottom-up strategy for problem solving, focusing on the intelligence component of the equation. Courses in artificial intelligence, a knowledge-based method using all-around agents and comprehensive and well-structured methods with evidence are some of its key features.
Applied artificial intelligence: a handbook for business leaders
Authors: Mariya Yao, Adelyn Zhou, Marlene Jia
Applied Artificial Intelligence is a practical manual for business leaders who want to use artificial intelligence to improve the productivity of their business and the quality of life in their society. This book focuses on using artificial intelligence and machine language to make tangible business decisions. It is one of the most useful how-to guides for business executives who want to get the most out of the deployment of machine learning technology.
Artificial intelligence: a modern approach (3rd edition)
Author: Stuart Russell and Peter Norvig
This version updates and expands on changes and advancements in artificial intelligence from the last version of the book in 2003. This book examines the most recent advances in AI in the fields of practical speech recognition, machine translation, self-driving cars and domestic robots. It also discusses advances in areas such as probabilistic reasoning, deep learning, and computer vision.
Artificial Intelligence Engines: An Introductory Deep Learning Math Tutorial
Author: James V Stone
Important techniques for learning neural networks are covered in depth in this book, followed by in-depth mathematical assessments. Online computer programs created from open standard sources offer hands-on expertise with neural network models. It’s a great introduction to the current algorithmic machinery of artificial intelligence.
Artificial intelligence by example
Author: Denis Rothman
Using concrete examples, this book offers a starting point for learning how artificial intelligence works. You will learn about the most sophisticated machine learning techniques, how to implement AI in blockchain and IoT, and how to use neural networks to create an emotional quotient in chatbots. By the end of this book, you will have a firm grasp of AI principles and have completed a number of case studies to help you develop a business vision. This book will help you hone your adaptive thinking skills to solve real-world AI problems. To get the most out of this book, you will need some prior knowledge of Python and a statistical understanding.
Artificial intelligence in healthcare
Author: Mahajan MD, Parag Suresh
This book examines the importance of AI technology in healthcare, how it is transforming all aspects of healthcare, and guides you through present and future AI applications in the field, including those in the field. Classes. It also covers ethical issues of AI in healthcare, AI concepts and how they work, the critical position of AI in all major medical specialties and the involvement of start-ups and companies in AI in healthcare.
Life 3.0 Human Being in the Age of Artificial Intelligence
Author: Max Tegmark
This book takes readers through the new AI thought process to study the future phase of human existence. The author examines how to profit from automation without putting people out of work, how to ensure that future AI systems work as intended without failing or being hacked, and how to thrive in life with AI without being foiled by deadly autonomous robots.
Conclusion
A career in artificial intelligence can be found in a wide range of settings, including commercial enterprises, government agencies, education, the arts, healthcare, government programs, and the military. Artificial intelligence is more and more advanced every day. As a result, people who are able to convert this digital data into meaningful human judgments will be able to earn a living in this profession. You can find a plethora of courses and certificates online on this subject. If your intentions are promising, the courses will undoubtedly be promising and there will be plenty of chances along the way.
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