The Prentice Hall Essence of Computing Series provides a concise, practical and uniform introduction to the core components of an undergraduate computer science degree. Acknowledging the recent changes within Higher Education, this approach uses a variety of pedagogical tools - case studies, worked examples and self-test questions, to underpin the student's learning.
The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI.
Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. Offering a less formal/mathematical treatment of the subject than many of its competitors, The Essence of AI provides an overview of all the key subjects covered in one semester.
For someone who didn't study computer science, this book is quite informative. Gives a very book idea about fundamental principles that forms the foundation of AI systems. There aren't much equations or mathematical stuff. Its mostly about getting familiarized with the field.
For about a year or so I worked in the realm of data science and engineering at a startup, and with the new golden age of neural networks I think lots of get confused about what AI and what it tries to achieve. Which I say because everyone gets caught up in the concepts of machines learning without induction. To the point of where Expert Systems are left out of conversation, and lots of startups are simply using the wrong techniques to build their products.
Aside from doing a great job of laying out the different fields of AI and theirs roles this book has excellent practical examples for the usage of trees. Which is something I feel most textbooks specifically focusing on trees fail to do.