The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.
The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.
Machine Learning and Artificial Intelligence
Machine Learning and Artificial Intelligence
Product Details
ISBN-13: | 9783030266226 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 09/24/2019 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 29 MB |
Note: | This product may take a few minutes to download. |