Important books for Artificial Intelligence professionals
Books for Artificial Intelligence professionals
AI is rapidly changing our way of living and doing business. So, with this, many business leaders struggle to keep pace with developments. As such, business leaders of top engineering colleges want to know which books for artificial intelligence will help them understand the AI revolution, grasp its impact on their world and plan for an AI-driven future.
What is an Artificial Intelligence?
Artificial Intelligence is the study field that simulates the processes of human intelligence on computer systems. However, these processes include the acquisition of information and approximating conclusions. The research topics in AI include problem-solving, reasoning, natural language, programming, and machine learning. Automation, Robotics and sophisticated computer software and programs characterize a career in Artificial Intelligence for the students of Top BTech Colleges in Rajasthan. Also, Basic foundations in maths, logic, technology, and engineering can go a long way in kick-starting a career in Artificial Intelligence. So, there are certain books that every AI professional should read. Some of them are as follows:
Artificial Intelligence – A Modern Approach
The book is written by Stuart Russell & Peter Norvig and suitable for beginners. However, it is less technical and provides an overview of the various topics revolving around AI. The writing is simple and all concepts and explanations can be easily understood by the reader of Best Engineering Colleges in Rajasthan. The concepts covered include subjects like search algorithms, statistical Natural Language Processing, game theory, multi-agent systems, local search planning methods, etc.
Machine Learning for Dummies
This AI book written by John Paul Mueller and Luca Massaron. It provides an entry point for anyone looking to get a foothold on Machine Learning. Also, it includes all the basic concepts and theories of machine learning and helps an individual in applying it to the real world. It introduces a little coding in Python and R to tech machines and help students of btech colleges to perform data analysis and pattern-oriented tasks.
Make Your Own Neural Network
The book is written by Tariq Rashid. It provides a step-by-step journey through the mathematics of Neural Networks. However, it starts with very simple ideas and gradually help students of engineering colleges in building up an understanding of how neural networks work. So, using Python language, it encourages the readers to build and setup their own neural networks.
Machine Learning: The New AI
The book of Machine Learning is written by Ethem Alpaydin. It also, provides a short overview of machine learning and describes its evolution by explaining essential important learning algorithms, and presents example applications. Besides, it explains how digital technology has advanced from number-crunching machines to mobile devices, putting today’s machine learning boom in context.
Fundamentals of Machine Learning for Predictive Data Analytics
This book on Artificial Intelligence written by John D. Kelleher, Brian Mac Namee, Aoife D’Arcy. It covers all the fundamentals of machine learning along with practical applications, working examples, and case studies. Also, students of private engineering colleges can provide detailed descriptions of important machine learning approaches used in predictive analytics.
The Hundred-Page Machine Learning Book
The Hundred-Page Machine Learning Book is written by Andriy Burkov. It regarded by many industry experts of engineering colleges Kukas as the best book on machine learning. So, for newcomers, it provides a thorough introduction to the fundamentals of machine learning. On the other hand, it gives practical recommendations from the author’s rich experience in the field of AI for experienced professionals.
The book covers all major approaches towards machine learning. It ranges from classical linear and logistic regression to modern support vector machines, Deep Learning, boosting, and random forests. So, this book is perfect for those beginners who want to get familiar with the mathematics behind various algorithms of machine learning.
Artificial Intelligence for Humans
This book written by Jeff Heaton. It helps readers to get an overview and understanding of AI algorithms. So, with this, students of top BTech colleges can learn an extensive mathematical background. The readers must have only a basic knowledge of computer programming and college algebra.
Fundamental AI algorithms like linear regression, dimensionality, clustering, and distance metrics covered in depth. The algorithms explained using numeric calculations which the readers can perform through interesting examples and use cases.
Machine Learning for Beginners
The book of Machine Learning for Beginners written by the Chris Sebastian. It traces the history of the early days of machine learning to what it has become as per current era. Also, it describes how big data is essential for machine learning and how programmers use it to develop learning algorithms. Concepts like AI, swarm intelligence, neural networks, etc. explained in detail.
This book of Artificial Intelligence provides simple examples for the reader to understand the complex math and probability statistics underlying machine learning. In addition, it provides real-world scenarios of how machine learning algorithms are making our lives better.
Artificial Intelligence: The Basics
This book written by Kevin Warwick. It provides a basic overview of different AI aspects and the various methods of implementing them. Also, it explores the history of AI, its present, and where it will be in the future. The book has interesting depictions of modern AI technology along with the robotics. It provides recommendations for other books to the students of best btech colleges that have more details about a particular concept. So, the book is a quick read for anyone interested in AI and helps you to explore issues at the heart of the subject and provides an illuminating experience for the reader.
Machine Learning for Absolute Beginners: A Plain English Introduction
One of the few artificial intelligence books that explains the various theoretical and practical elements of machine learning techniques in a very simple manner. It uses plain English to prevent beginners from being overwhelmed by technical jargons. Also, it has a clear and accessible explanations with visual examples for the various algorithms.