制作方:   Johns Hopkins University

  • Jeff Leek, PhD

    教学方:    Jeff Leek, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health

  • Roger D. Peng, PhD

    教学方:    Roger D. Peng, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health

  • Brian Caffo, PhD

    教学方:    Brian Caffo, PhD, Professor, Biostatistics

    Bloomberg School of Public Health
Basic Info
Course 8 of 10 in the Data Science Specialization.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
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Johns Hopkins University
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评分和审阅
已评分 4.4,总共 5 个 953 评分

Good course on the whole, learned a lot and enjoyed it, but it would need to be updated and corrected (certain bits of code don't work as they did when the course was produced, which can be pretty confusing). Would be nice also to add some more content at the end of the course : the lecture about unsupervised prediction felt rushed, and a proper conclusion opening up to the rest of the field would be useful. Anyway thanks again for this wonderful learning opportunity, keep it up ! Cheers

This course is a good introduction to machine learning algorithms with R

very good, but if it has swirl practice like th other courses it would be perfect.

So why four stars vs five stars, of all the Data Science Certification courses that I have taken: i) some of the examples and quiz challenges don't work as they should, ii) Machine Learning is rapidly changing area - should be updated to reflect this and perhaps a high level taste of Deep Learning, iii) posting the Final Project is overly complicated relative to methods of the other courses - this should be cleaned up - still not clear how point to a github repo link and also have a rendered html page working from that same link - requires two links to present materials and must use default names like index vs. a project name.