Learning with Different Input Space

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来自 国立台湾大学 的课程
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
348 评分
从本节课中
第三講:Types of Learning
learning comes with many possibilities in different applications, with our focus being binary classification or regression from a batch of supervised data with concrete features

与讲师见面

  • Hsuan-Tien Lin, 林軒田
    Hsuan-Tien Lin, 林軒田
    教授 (Professor)
    資訊工程學系 (Computer Science and Information Engineering)