Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. This first course of the two would focus more on mathematical tools, and the other course would focus more on algorithmic tools. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。我們的兩項姊妹課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。本課程將較為著重數學類的工具，而另一課程將較為著重方法類的工具。]
提供方
国立台湾大学
課程信息
56,191 次近期查看
學習Course的學生是
- Machine Learning Engineers
- Data Scientists
- Traders
- Data Analysts
- Data Engineers
您將獲得的技能
Decision StumpPerceptronMachine LearningVc Dimension
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
第一講：The Learning Problem
what machine learning is and its connection to applications and other fields
5 個視頻 （總計 70 分鐘）, 5 個閱讀材料
5 個視頻
What is Machine Learning18分鐘
Applications of Machine Learning18分鐘
Components of Machine Learning11分鐘
Machine Learning and Other Fields10分鐘
5 個閱讀材料
NTU MOOC 課程問題詢問與回報機制1分鐘
課程大綱10分鐘
課程形式及評分標準10分鐘
延伸閱讀10分鐘
homework 010分鐘
週
2完成時間為 1 小時
第二講：Learning to Answer Yes/No
your first learning algorithm (and the world's first!) that "draws the line" between yes and no by adaptively searching for a good line based on data
4 個視頻 （總計 61 分鐘）
4 個視頻
Perceptron Learning Algorithm (PLA)19分鐘
Guarantee of PLA12分鐘
Non-Separable Data12分鐘
週
3完成時間為 1 小時
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
4 個視頻 （總計 61 分鐘）
4 個視頻
Learning with Different Data Label18分鐘
Learning with Different Protocol11分鐘
Learning with Different Input Space14分鐘
週
4完成時間為 2 小時
第四講：Feasibility of Learning
learning can be "probably approximately correct" when given enough statistical data and finite number of hypotheses
4 個視頻 （總計 60 分鐘）, 1 個測驗
4 個視頻
Probability to the Rescue11分鐘
Connection to Learning16分鐘
Connection to Real Learning18分鐘
1 個練習
作業一40分鐘
4.9
125 個審閱29%
完成這些課程後已開始新的職業生涯
43%
通過此課程獲得實實在在的工作福利
36%
加薪或升職
來自機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations的熱門評論
This course give a theoretical analysis of machine learning,though there is not much introduction of algorithm in detail,but this helped me open a new door of machine learning.
I am very grateful to the teacher for bring me to the world of Machine Learing. I am new in the field. I will try my best to learn the basic knowledge of ML.
講師
林軒田
教授 (Professor)資訊工程學系 (Department of Computer Science and Information Engineering)
關於 国立台湾大学
We firmly believe that open access to learning is a powerful socioeconomic equalizer. NTU is especially delighted to join other world-class universities on Coursera and to offer quality university courses to the Chinese-speaking population. We hope to transform the rich rewards of learning from a limited commodity to an experience available to all. More courses information, the official Facebook Page: https://www.facebook.com/ntumooc2017/
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