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About Fundamentals
This document provides lecture notes on applications of artificial intelligence. It begins with definitions of key concepts in machine learning like modeling from data, supervised learning, unsupervised learning, and reinforcement learning. It then discusses data preparation and common data structures used in AI like scalars, vectors, matrices, and tensors. Finally, it reviews important mathematical concepts for machine learning like functions, derivatives, gradients, and probability. The document serves as an introduction to fundamental AI and machine learning principles for students in a applications of AI course.
Detailed Information
| Author: | ['DUY LÊ KHÁNH'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 32 |
| Language: | English |
| Format: | |
| Price: | FREE |
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