[MLF] Lecture 4: Feasibility of Learning

這一章節主要探討的是機器學習的可行性。如果在某些情況下,機器學習做不到,是否可以加入其他的假設,或是用其他的方法使它可行。

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[Machine Learning Foundations] Lecture 3: Types of Learning


Machine Learning Foundations Notes
Lecture 3: Types of Learning
Instructor: Hsuan-Tien Lin



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[Machine Learning Foundations] Lecture 2: Learning to Answer Yes/No


Machine Learning Foundations Notes
Lecture 2: Learning to Answer Yes/No
Instructor: Hsuan-Tien Lin



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[Machine Learning Foundations] Lecture 1. The Learning Problem


Machine Learning Foundations Notes
Lecture 1. The Learning Problem
Instructor: Hsuan-Tien Lin



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[NLP Lab] WriteAhead and Induction of Grammar Patterns

Spring 2015 Natural Language Processing Lab.
Week 8. and 9. WriteAhead and Induction of Grammar Patterns
Instructor: Jason S. Chang



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[Data] Enron 資料前處理

接到任務要處理一份很髒的資料,他真的很髒,除了長得很髒,做的事也很髒。

美國有一間能源公司 Enron,因為幹了太多壞事,導致公司倒閉,財產被扣押,其中包含員工所有業務往來的電子郵件。而這份電子郵件資料就這樣被 Open 了(?於是乎,就成為了學術研究使用的資料集。

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[NLP Lab] Linggle and MapReduce

Spring 2015 Natural Language Processing Lab.
Week 7. Linggle and MapReduce
Instructor: Jason S. Chang



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[NLP Lab] Selecting Good Dictionary Examples, GDEX

Spring 2015 Natural Language Processing Lab.
Week 5. Selecting Good Dictionary Examples, GDEX
Instructor: Jason S. Chang



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[NLP Lab] Extracting Collocations from ngram

Spring 2015 Natural Language Processing Lab.
Week 3. and 4. Extracting Collocations from ngram
Instructor: Jason S. Chang



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[NLP Lab] Spell Checker Using Web Corpus

Spring 2015 Natural Language Processing Lab.
Week 2. Spell Checker Using Web Corpus
Instructor: Jason S. Chang



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