Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.
The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI. Fundamentals of Artificial Intelligence introduces ...
First, many researchers followed McCarthy's lead and continued to develop AI systems from a practical point of view. To put it simply, they just got on with it. This period saw the development of 'expert systems', which were designed to ...
What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, ...
What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using ...
In a nutshell, the machine does not need to be explicitly programmed by people. The Machine Learning enables the computers or the machines to make data-driven decisions rather than being explicitly programmed for carrying out a certain ...
A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the field of AI and Law, doing so with a focus on ...
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume.
The Preface to the first edition follows. General scope of the book Artificial intelligence (AI) as a field has undergone rapid growth in diversification and practicality.
This is followed by two more chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society.
This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context.