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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.
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.
Author: Dr. Dheeraj Mehrotra
This book provides a deeper knowledge of artificial intelligence and machine learning as well as a technological foundation.
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.
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.
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:
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.
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.
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.
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.
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.
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.
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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