Jan 17, 2017
Excellent course, well thought out lectures and problem sets. The programming assignments offer an appropriate amount of guidance that allows the students to work through the material on their own.
Sep 25, 2017
Nice course with all the practical stuffs and nice analysis about each topic but practical part of LDA was restricted for GraphLab users only which is a weak fallback and rest everything is fine.
par Edwin Augusto Pucuji Jácome•
Feb 15, 2019
Excellent, good contribution to the technical and practical knowledge ML
par Zhongkai Mi•
Feb 12, 2019
Great assignments : )
par Vikash Singh Negi•
Feb 03, 2019
It was great but I was also interested to implement the solutions with pyspark...though I did it eventually. Thank you!
par Srinivas CS•
Jan 07, 2019
This was a really good course, It made me familiar with many tools and techniques used in ML. With this in hand I will be able to go out there and explore and understand things much better.
par Jay Kumar Sinha•
Jan 05, 2019
Excellent course material and fantastic delivery. You guys made this complex learning so simple and interesting . Thanks for all this, keep the good works.
par KAI NIU•
Jan 03, 2019
Excellent course with great and reachable explanation
par PRAVEEN REDDY UPPALA•
Dec 27, 2018
Nice content and well made presentations.
par Big O•
Dec 21, 2018
More detail on theory behind LDA and HMMs would have been useful. Otherwise, another brilliant course!
Dec 19, 2018
Great but hard~!
par Martin Rehfeld•
Dec 12, 2018
I'd bring the last summary video at the beginning (the great summary of all weeks of the course). This would outline the course evolution in advance and give guidance what's ahead. IMHO this would help to not get lost when drill down in a single section.