Top AI Books and machine learning books are available on Amazon which can enhance your knowledge of AI
Artificial Intelligence (AI) is sweeping the globe. AI is being used in almost every sector across the world for a range of applications and use cases. Process automation, predictive analysis, fraud detection, and improving customer experience are just a few of the many uses available. Start by reading the Top AI Books for Self-Learning to understand more about AI and its principles. Artificial intelligence (AI) is predicted to be the future of technical and economic growth. As a result, job possibilities for AI engineers and programmers are expected to skyrocket in the coming years. The following top AI books and machine learning books will be very useful if you have no prior understanding of AI but are interested in learning and starting a career in this subject.
Artificial Intelligence: A Modern Approach:
Stuart J. Russell and Peter Norvig wrote Artificial Intelligence: A Modern Approach (AIMA), a university textbook in artificial intelligence. Among the AI books available on Amazon, it was initially published in 1995, and the fourth edition will be issued on April 28, 2020. It is taught at over 1400 colleges across the globe and has been dubbed “the world’s most popular artificial intelligence textbook.” In the realm of artificial intelligence, it is regarded as the standard text. The book is written for undergraduates, but it may also be utilized for graduate-level research if any of the sources indicated in the comprehensive bibliography are included. This is one of the top AI books.
Max Tegmark, a Swedish-American cosmologist at MIT, has written a book called Life 3.0: Being Human in the Age of Artificial Intelligence. Artificial intelligence (AI) and its influence on the future of life on Earth and beyond are discussed in Life 3.0. The book covers a wide range of societal consequences, as well as what may be done to improve the odds of a positive outcome and possible futures for mankind, technology, and their combinations. It is also one of the top AI books available on Amazon.
The book opens by imagining a world in which artificial intelligence has surpassed human intellect and has become widespread throughout society. Tegmark uses the terms Life 1.0, Life 2.0, and Life 3.0 to describe distinct periods of human life from its inception: Life 1.0 relates to biological beginnings, Life 2.0 refers to cultural advances in mankind, and Life 3.0 refers to humanity’s technological era. The book focuses on “Life 3.0” and upcoming technologies such as artificial intelligence, which may one day be able to rebuild its hardware and internal structure in addition to learning.
The authors of AI 2041 are Kai-Fu Lee and Chen Qiufan. A pioneering AI specialist and a prominent writer of speculative fiction join forces in this ground-breaking combination of imaginative narrative and scientific forecasting to tackle an urgent question: How will artificial intelligence impact our world in the next twenty years?
AI will be the twenty-first century’s defining innovation. Aspects of ordinary human existence will be unrecognizable in two decades. Through human-machine cooperation, AI will produce enormous riches, improve medicine and education, and develop whole new forms of communication and entertainment. AI will, however, undermine the basic principles of our economic and social system by freeing us from mundane employment. Meanwhile, AI will introduce new dangers in the shape of self-driving weaponry and intelligent technology that inherits human prejudice. People need to wake up to AI’s dazzling paths as well as its existential risks for life as we know it, as it is approaching a tipping point. Kai-Fu Lee, the former head of Google China and bestselling author of AI Superpowers, teams up with famous writer Chen Qiufan in this bold, completely original piece of “science fiction” to explore our world in 2041 and how AI will alter it. They bring readers to a diversity of eye-opening 2041 locales in 10 riveting short stories set twenty years in the future. Among the AI books available on Amazon, it is also a masterpiece.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow:
Deep learning has enhanced the whole area of machine learning thanks to a series of recent achievements. Even programmers with little or no experience with this technology may now utilize simple, efficient tools to create data-driven programs. This easy-to-follow guide will teach you how. Author Aurélien Géron helps you develop an intuitive grasp of the ideas and tools for constructing intelligent systems by utilizing simple examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow. Starting with simple linear regression and moving to deep neural networks, you’ll master a variety of approaches. To get started, all you need is programming expertise and the exercises in each chapter to help you apply what you’ve learned. This is another popular book among the machine learning books available on Amazon.
Machine Learning using Python:
This is also a masterpiece among the machine learning books. The authors of the book are Manaranjan Pradhan and U Dinesh Kumar. This book uses real-life case studies and examples to offer a firm foundation in machine learning using Python libraries. It covers subjects including machine learning foundations, Python basics, descriptive analytics, and predictive analytics. Decision tree learning, random forest, boosting, recommendation systems, and text analytics are among the advanced machine learning principles addressed. The book strikes a good mix between theoretical knowledge and practical application. All of the subjects feature real-world examples and a step-by-step guide to exploring, building, evaluating, and optimizing machine learning models.