本課程第二部分著重在和人工智慧密不可分的機器學習。課程內容包含了機器學習基礎理論（包含 1990 年代發展的VC理論）、分類器（包含決策樹及支援向量機）、神經網路（包含深度學習）及增強式學習（包含深度增強式學習。
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
Instructor: 于天立
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4.6
(54 reviews)
Intermediate level
Some related experience required
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
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5 assignments
Taught in Chinese (Traditional)
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There are 5 modules in this course
What's included
6 videos2 readings1 assignment
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8 videos1 assignment
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6 videos1 assignment
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9 videos1 assignment
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7 videos1 assignment
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4.8 (16 ratings)Offered by
Recommended if you're interested in Machine Learning
National Taiwan University
Peking University
Peking University
Fudan University
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KJ
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Reviewed on Jan 3, 2022
Professor Ding's teaching is conscientious and the lectures are clearly explained
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