Artificial Intelligence for Engineers
Basics and Implementations
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Beschreibung
This textbook 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 a big picture for both AI and essential AI topics within the shortest amount of time.
- Designed for a typical undergraduate, graduate, or dual-listed course with a semester-based calendar;
- Puts theory in context, so readers gain knowledge about the most essential concepts and algorithms;
- Covers essential terms, algorithms, and useful tools for learning and performing contemporary AI.
Extra information is available at AI-engineer.org
This textbook 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 a big picture for both AI and essential AI topics within the shortest amount of time.
Designed for a typical undergraduate, graduate, or dual-listed course with a semester-based calendar Organized to help readers to easily and quickly gain the most essential concepts, algorithms and their implementations Covers essential background knowledge, algorithms, tools, and code for learning and performing contemporary AI
Autor*in
Zhen "Leo" Liu
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