機器學習技法 (Machine Learning Techniques)

Course
zh
Chinese
64 h
This content is rated 4.5 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
More info
  • 8 Sequences
  • Introductive Level

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Course details

Syllabus

Each of the following items correspond to approximately one hour of video lecture. [以下的每個小項目對應到約一小時的線上課程]

Embedding Numerous Features [嵌入大量的特徵]
-- Linear Support Vector Machine [線性支持向量機]
-- Dual Support Vector Machine [對偶支持向量機]
-- Kernel Support Vector Machine [核型支持向量機]
-- Soft-Margin Support Vector Machine [軟式支持向量機]
-- Kernel Logistic Regression [核型羅吉斯迴歸]
-- Support Vector Regression
[支持向量迴歸]


Combining Predictive Features [融合預測性的特徵]
-- Bootstrap Aggregation [自助聚合法]
-- Adaptive Boosting [漸次提昇法]
-- Decision Tree [決策樹]
-- Random Forest [隨機森林]
-- Gradient Boosted Decision Tree [梯度提昇決策樹]

Distilling Hidden Features [萃取隱藏的特徵]
-- Neural Network [類神經網路]
-- Deep Learning [深度學習]
-- Radial Basis Function Network
[逕向基函數網路]
-- Matrix Factorization [矩陣分解]

Summary [總結]

Prerequisite

None.

Instructors

  • Hsuan-Tien Lin - 資訊工程學系 (Computer Science and Information Engineering)

Editor

The National University of Taiwan is a public university in Taiwan, located in the city of Taipei.

It is recognised as Taiwan's most prestigious university, training the country's elite in fields as varied as science, economics, finance, languages and politics.

The National Taiwan University (NTU), founded in 1928 in Taipei, has produced many political and social leaders. Both the pan-blue and pan-green movements have their roots on the university campus.

The university has six campuses in the greater Taipei area and two more in Nantou county, covering almost one per cent of the total area of the island of Taiwan.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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