Text Retrieval and Search Engines

Text Retrieval and Search Engines is the second course in Coursera's new data mining specialization offered by the University of Illinois at Urbana-Champaign.

Very useful course about text retrieval and search engines.

The class content layout is excellent, it gives an overall picture about text retrieve and search engine, also point out the direction of further learning.

Good coverage of search engines.

Having applied to the University of Illinois' Master of Computer Science - Data Science, I thought it'd be a good idea to take some of their Coursera courses to get a sense of the quality of their education.

The course covers a variety of topics in text data mining and natural language processing including text retrieval, query ranking and evaluation methods, methods and the basics of recommender systems.

I am now a human happily collaborating with machine learning systems.

If you are interested in applied machine learning techniques (for text retrieval and analysis) this is not really the course to take.

As with many of Coursera's other 4-week specializations, however, lectures sometimes turn into information dumps where the professor ends up reading off slides.

It was a fun experience, and I hope that the theoretical approach will slowly turn into a combination of theory and practice.

Couple of tests during the entire course need you to read ahead the next week's course and even though the issue has been reported more than 2 years ago, as of this writing, they have not been fixed In Week 1 and 4 questions to pass the assignment are coming from one week later....So the material provided every week to pass does not fit the assignment questions.Should be improved.

It is a great course, highly recommended for those who wants to work in the AI very very good The quiz content is out of sync with the lecture content and has not been fixed after what appears to be 2 years of comments in the course error message board and weekly discussion boards.

Another way is finish courses of the next week, and then come back to finish the quiz of the previous week.

Second, and more importantly, I was disappointed by the explanations offered by Prof. Zhai.

Thirdly, currently the assignment files have not been updated in a long time, and they do not work correctly with the current version of MeTA (2.30) and thus you cannot complete the assignment without spending a lot of hours figuring out how to update the data provided YOURSELF to work correctly with the current version of MeTA.

The second assignment is better, but also has recommendations out of date with the current version of MeTA.

pretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty goodpretty good The course is not very organised and even though they share a lot of information, it's not really very useful for someone who wants to get his/her hands dirty and really learn NLP/Text retrieval.