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Schedule.md

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Date Topic Readings Due Lecture
Part I: Indexing
1/12 Boolean Search Ch1 L01
1/14 Indexing I: stemming/stopping Ch2 L02
1/19 Indexing II: phrases, skip lists, position Ch2 L03
1/21 Dictionaries Ch3 L04
1/26 Scalable indexing Ch4 L05
1/28 Index compression Ch5 A0 L06
Part II: Ranking
2/02 Vector space model Ch6 L07
2/04 Scoring for search Ch7 L08
2/09 Evaluation (Aron travels) Ch8 L09
2/11 Query Expansion (Aron travels) Ch9 L10
2/16 Probabilistic IR Ch11 A1 L11
2/18 Probabilistic IR Ch11 L12
2/23 Language Models Ch12 L13
2/25 Language Models Ch12 L14
Part III: Classification
3/01 Naive Bayes Ch13 L15
3/03 Logistic Regression Ch14 A2
3/08 Midterm
3/10 KNN Ch14 L16
3/15 Spring Break
3/17 Spring Break
3/22 Logistic Regression (Aron travels) Ch14 L17
3/24 Logistic Regression Ch15 A3
3/29 Bias/Variance Handouts
Part IV: Clustering
3/31 Learning to Rank Ch16
4/05 K-Means Ch16
4/07 EM Ch18 L22
4/12 Word Clustering Handouts L23
Part V: Web Search
4/14 Web search overview Ch19
4/19 PageRank Ch21
4/21 PageRank Ch21 L26
4/26 Web Crawling Ch20
4/28 Review A5
TBA Final Exam