Here are the top 12 artificial intelligence books you shouldn’t miss
Artificial Intelligence will be the trendiest and most in-demand field in 2021; most programmers want to work in AI, data science, and data analytics. AI is the study of simulating 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 study areas in AI. A profession in artificial intelligence is defined by robotics, automation, and complex computer software and systems.
Let’s check out the list of the top 12 AI books that you must read.
12 Best Artificial Intelligence Books
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
Author: Peter Norvig
This book covers advanced common lisp concepts as they relate to the development of large AI systems. It reconstructs real, sophisticated AI programs using cutting-edge 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 classes and a must-have reference for every experienced programmer.
Basics of Artificial Intelligence & 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 S.S.V
This book is aimed mostly at computer engineering postgraduate students. This book bridges the gap between Ai and machine Learning’s challenging settings. It has the most case studies and examples that have been worked out. 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 a basic understanding of artificial intelligence and its implications. It gives a non-technical overview of key ideas including machine learning, natural language processing, deep learning, robotics, and others. Furthermore, the author touches on the issues regarding AI’s potential influence on social trends, ethics, governments, corporate structures, and everyday life.
Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, The 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 live brain within a computer. The following topics are covered in this book:
AI and Growth Hacking
AI and Correcting Fake News
AI and Big Data
AI and Employment
AI and The Legal System
AI and Self-driving Vehicles
Confluence of Interests
Manipulating the Limbic System
Motivation for Creating AI
Fighting Against Tech Giants
AI as One World Religion
Dietary Advice by AI
AI and Loneliness
AI and Ethics
AI and Social Credit
AI as Sports Referees
A First Course in Artificial Intelligence
Author: Deepak Khemani
This book takes a bottom-up strategy to problem-solving, focusing on the intelligence component of the equation. Coursework in artificial intelligence, a knowledge-based method using agents all around, and comprehensive, well-structured methods with proofs are among its key characteristics.
Applied Artificial Intelligence: A Handbook for Business Leaders
Author: Mariya Yao, Adelyn Zhou, Marlene Jia
Applied Artificial Intelligence is a hands-on handbook for business executives who want to use machine intelligence to improve their businesses’ productivity and the quality of life in their societies. This book focuses on using artificial intelligence and machine language to make tangible business decisions. It is one of the most useful practical guides for company executives who want to get the most out of machine learning technology deployment.
Artificial Intelligence: A Modern Approach (3rd Edition)
Author: Stuart Russell and Peter Norvig
This version updates and expands on the changes and advancements in artificial intelligence from the book’s last version in 2003. This book examines the most recent advances in AI in the areas of practical voice recognition, machine translation, autonomous cars, and home robots. It also discusses advancements in fields like probabilistic reasoning, deep learning, and computer vision.
Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
Author: James V Stone
Important neural network learning techniques are presented in-depth in this book, followed by extensive mathematical evaluations. Online computer programs created from open standard sources give hands-on expertise with neural network models. It’s an excellent primer on current artificial intelligence’s algorithmic machinery.
Artificial Intelligence by Example
Author: Denis Rothman
With the aid of real-life examples, this book offers a beginning point for learning how Artificial Intelligence works. You’ll learn about the most sophisticated machine learning techniques, how to implement AI to blockchain and IoT, and how to use neural networks to build emotional quotient in chatbots. By the conclusion of this book, you’ll have a firm grasp on the principles of AI and will have completed a number of case studies to aid in the development of a corporate vision. This book will assist you in honing your adaptive thinking skills in order to address real-world AI problems. To get the most out of this book, you’ll need prior expertise with Python and 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 parts of healthcare and walks you through present and future AI applications in the field, including those in progress. It also covers ethical issues about AI in healthcare, AI concepts and how they operate, AI’s critical position in all major medical specialties, and the involvement of start-ups and corporate actors in AI in healthcare.
Life 3.0 Being Human in the Age of Artificial Intelligence
Author: Max Tegmark
This book takes readers into the newest AI thought process in order to investigate the future phase of human existence. The author looks at how to profit via automation without putting people out of work, how to ensure that future AI systems perform as planned without failing or being hacked, and how to thrive in life with AI without being outsmarted by deadly autonomous robots.
A career in artificial intelligence may be found in a wide range of settings, including commercial companies, government agencies, education, the arts, health care, government programs, and the military. Artificial intelligence is becoming more advanced every day. As a result, people who can convert those digital pieces of data into meaningful human judgments will be able to make a living in this profession. You may find a plethora of online courses and certificates in this subject. If your intentions are promising, the courses will undoubtedly be promising, and a slew of chances will present themselves along the road.
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