About this Course

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Learner Career Outcomes

50%

started a new career after completing these courses

67%

got a tangible career benefit from this course

29%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 31 hours to complete
English

Skills you will gain

Information Retrieval (IR)Document RetrievalMachine LearningRecommender Systems

Learner Career Outcomes

50%

started a new career after completing these courses

67%

got a tangible career benefit from this course

29%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 31 hours to complete
English

Offered by

Placeholder

University of Illinois at Urbana-Champaign

Syllabus - What you will learn from this course

Content RatingThumbs Up90%(2,596 ratings)Info
Week
1

Week 1

2 hours to complete

Orientation

2 hours to complete
2 videos (Total 15 min), 6 readings, 2 quizzes
2 videos
Course Introduction Video11m
6 readings
Welcome to Text Retrieval and Search Engines!10m
Syllabus10m
About the Discussion Forums10m
Updating your Profile10m
Social Media10m
Course Errata10m
2 practice exercises
Orientation Quiz15m
Pre-Quiz30m
4 hours to complete

Week 1

4 hours to complete
6 videos (Total 94 min), 1 reading, 2 quizzes
6 videos
Lesson 1.2: Text Access9m
Lesson 1.3: Text Retrieval Problem26m
Lesson 1.4: Overview of Text Retrieval Methods10m
Lesson 1.5: Vector Space Model - Basic Idea9m
Lesson 1.6: Vector Space Retrieval Model - Simplest Instantiation17m
1 reading
Week 1 Overview10m
2 practice exercises
Week 1 Practice Quiz1h
Week 1 Quiz1h
Week
2

Week 2

4 hours to complete

Week 2

4 hours to complete
6 videos (Total 102 min), 1 reading, 2 quizzes
6 videos
Lesson 2.2: TF Transformation9m
Lesson 2.3: Doc Length Normalization18m
Lesson 2.4: Implementation of TR Systems21m
Lesson 2.5: System Implementation - Inverted Index Construction18m
Lesson 2.6: System Implementation - Fast Search17m
1 reading
Week 2 Overview10m
2 practice exercises
Week 2 Practice Quiz1h
Week 2 Quiz1h
Week
3

Week 3

7 hours to complete

Week 3

7 hours to complete
6 videos (Total 75 min), 2 readings, 3 quizzes
6 videos
Lesson 3.2: Evaluation of TR Systems - Basic Measures12m
Lesson 3.3: Evaluation of TR Systems - Evaluating Ranked Lists - Part 115m
Lesson 3.4: Evaluation of TR Systems - Evaluating Ranked Lists - Part 210m
Lesson 3.5: Evaluation of TR Systems - Multi-Level Judgements10m
Lesson 3.6: Evaluation of TR Systems - Practical Issues15m
2 readings
Week 3 Overview10m
Programming Assignments Overview10m
2 practice exercises
Week 3 Practice Quiz1h
Week 3 Quiz1h
Week
4

Week 4

4 hours to complete

Week 4

4 hours to complete
7 videos (Total 88 min), 1 reading, 2 quizzes
7 videos
Lesson 4.2: Statistical Language Model17m
Lesson 4.3: Query Likelihood Retrieval Function12m
Lesson 4.4: Statistical Language Model - Part 112m
Lesson 4.5: Statistical Language Model - Part 29m
Lesson 4.6: Smoothing Methods - Part 19m
Lesson 4.7: Smoothing Methods - Part 213m
1 reading
Week 4 Overview10m
2 practice exercises
Week 4 Practice Quiz1h
Week 4 Quiz1h

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About the Data Mining Specialization

Data Mining

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