DS 学习 - 打卡贴【欢迎指教】

4.1-3, 2017

Coursera Stanford NLP course:
Lecture 10 Relation extraction
Lecture 11 Maxent models and discriminative estimation
Lecture 12 Part of speech tagging

4.4-5, 2017

Coursera Stanford NLP course:
Lecture 13 Parsing introduction
Lecture 14 CFGs and PCFGs

Leetcode p115

Top-down learning path: Machine Learning for Software Engineers

https://github.com/ZuzooVn/machine-learning-for-software-engineers

4.6-9, 2017

Coursera Stanford NLP course:
Lecture 15 Lexicalization of PCFGs
Lecture 16 Dependency parsing
Lecture 17 Introduction to information retrieval and web search
Lecture 18 Introducing ranked retrieval

向你学习， 也坚持打卡。希望早日找到合适工作

4.10-12, 2017

Coursera Stanford NLP course:
Hw #1

4.13-14, 2017

Coursera Stanford NLP course:
Lecture 19 Question answer
Lecture 20 Query-focus & Generic summarization

4.15-18, 2017

Coursera Stanford NLP course:
Hw #2 spell check
implement Laplace Bigram Language Model, Stupid Backoff Language Model, interpolated Kneser-Ney, etc.
understand the code of a noisy-channel model, ready to write a spell corrector

norvig.com/spell-correct.html

4.19-22, 2017

NLTK with Python 3 for Natural Language Processing at Youtube by sentdex
Video 1-12 Tokenizing, stop_words, stemming, pos_tag, chunking, named entity, lemmatizing, wordnet