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courses:cs366:schedule [2020/01/08 18:51]
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courses:cs366:schedule [2020/01/08 19:03]
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| ^ Date ^ Topic ^ Reading ^ Assignments ^ Supplemental materials || | ^ Date ^ Topic ^ Reading ^ Assignments ^ Supplemental materials || |
| | 1/22 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pdf| Introduction]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pptx| (PPT)]] | J&M Ch. 1 | | || | | 1/22 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pdf| Introduction]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro.pptx| (PPT)]] | J&M Ch. 1 | | || |
| | 1/27 | [[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pdf| Finite state automata, finite state transducers, and morphology]] [[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pptx| (PPT)]] | NLTK Ch. 1, J&M Ch. 3 pp. 45-68. | | || | | 1/27 | [[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pdf| Finite state automata, finite state transducers, and morphology]] [[http://www.cs.vassar.edu/~cs366/private/lectures/morphology.pptx| (PPT)]] | NLTK Ch. 1, J&M Ch. 3 pp. 45-68 | | |
| | 2/3 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pdf| Introduction to NLTK and Python ]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pptx|(PPT) ]] | NLTK Ch. 3, 4 | /* HW1:[[http://www.nltk.org/book/ch01.html| NLTK Ch. 1]], Ex. 4-7 due 2/5 */ | [[https://docs.python.org/3/tutorial/| Python3.5 tutorial]] || | || |
| | | 2/3 | [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pdf| Introduction to NLTK and Python ]] [[http://www.cs.vassar.edu/~cs366/private/lectures/intro-nltk.pptx|(PPT) ]] | NLTK Ch. 3, 4 | |
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| | |[[https://docs.python.org/3/tutorial/| Python3.5 tutorial]] |
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| | 2/5 | [[http://www.cs.vassar.edu/~cs366/private/lectures/machine-learning.pdf|Introduction to Machine Learning]] | [[http://www.cs.cmu.edu/~tom/mlbook/keyIdeas.pdf| Key Ideas in Machine Learning]] | | | 2/5 | [[http://www.cs.vassar.edu/~cs366/private/lectures/machine-learning.pdf|Introduction to Machine Learning]] | [[http://www.cs.cmu.edu/~tom/mlbook/keyIdeas.pdf| Key Ideas in Machine Learning]] | |
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| | 2/10 |Machine learning (con't): Naive Bayes and sentiment analysis | [[https://web.stanford.edu/~jurafsky/slp3/4.pdf|J&M Edition 3, Chapter 4]] | | | 2/10 |Machine learning (con't): Naive Bayes and sentiment analysis | [[https://web.stanford.edu/~jurafsky/slp3/4.pdf|J&M Edition 3, Chapter 4]] | |