This book presents basic knowledge and essential toolsets needed for people who want to step into Artificial Intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain big pictures for both AI and essential AI topics within the shortest amount of time. Based on the picture(s), suitable amounts of theoretical knowledge are contextualized to help the learner gain information about the most essential concepts and algorithms. These algorithms are introduced and formulated in a way that the learner can easily implement them for real-world applications with a small amount of effort. In short, you read it, you understand it, you try it, and you can solve it. This book, though titled Artificial Intelligence, is mostly devoted to numeric AI represented by Machine Learning algorithms, which predominate the so-called third wave tide of AI. The most common and useful Machine Learning topics are selected and introduced.

Artificial Intelligence for Engineers: Basics PDF

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