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.
Aug 25, 2016
excellent material! It would be nice, however, to mention some reading material, books or articles, for those interested in the details and the theories behind the concepts presented in the course.
von Rajkumar K•
May 27, 2017
Clustering & Retrieval was a lot tougher compared to courses on regression & classification because the match concepts behind this course were too complex. Nevertheless Emily tried to make this course as intuitive as possible
von Gilles D•
Aug 12, 2016
Still a very good course.
Week 4 was very tough. The general concept can be understood from a 10,000 feet altitude but the lesson and programming assignment need to be reviewed, maybe with a slower step by step example.
As some other student mentioned, it was... "brutal".
Other than that looking forward to the next course in the specialization!
von Usman I•
Dec 29, 2016
I am taking all courses in the specialization, and this is my fourth. I have been having a great time with materials by both instructors so far, until I came to week 5 of this course.
Despite repeated viewing, my understanding of LDA is non-existent. The first section is fine, but starting from "Bayesian inference via Gibbs sampling," for me at least, the method of instruction has gone off a cliff.
I strongly suggest soliciting feedback from learners that narrowly targets the material of this week 5 to determine if it's just me or if this is a wider problem. If it is the latter, perhaps it is time to redesign the lessons of this week.
von Siva J•
Feb 26, 2017
Good and deep dive into ML!
Absolutely disappointed that the course was delayed and the promise to take it through Course 5 and Capstone Project didn't come through.
Not at all happy with that!!
von Koen O•
Aug 27, 2017
I liked it a lot
von Mehul P•
Sep 11, 2017
Nice explanation on clustering methods.
von Michele P•
Sep 02, 2017
Advanced course. The material taught in this course is more advanced compared to Regression and Classification courses. You have to invest more time in respect to the previous courses. For some topics (LDA and hierarchical clustering) I had to look for other sources in order to understand the concepts properly. However, this course is a good introduction to clustering and retrieval.
von Galen S•
May 08, 2017
I liked the slides.
von Maxence L•
Dec 15, 2016
Comme les précédents dans de cette spécialisation, ce cours est très riche et donne les clés pour utiliser des outils complexes et puissants. Toutefois, un peu plus de détails sur certains aspects, notamment théoriques, pourraient améliorer la compréhension de certains chapitres plus techniques.
von Marco A d S M•
Oct 20, 2017
As explicações poderiam ser um pouco mais detalhadas neste curto. Tive certa dificuldade em alguns conceitos apresentados, mais do que nos outros cursos.
von Jack B•
Mar 04, 2017
Should use pandas instead of Graph Lab Create
von Christopher M•
Jul 01, 2019
Doesn't go quite as deep into the details as some of the other Machine Learning courses from the University of Washington do. Overall though, the course covers a LOT of ground. and provides exposure to many different topics.
I would have liked to have seen an Optional section on the derivation of some of the math that we were given functions for on the Expectation Maximization section. The models in the hierarchical clustering section take longer to fit than is necessary for a course like this (more than 40 times as long as the instructions say it should take), maybe a larger tolerance for convergence should be specified?
von Baubak G•
Jul 11, 2018
Need more details in the coarse. I think many of the topics need more working on, and are not sufficiently described.
von Oliverio J S J•
Jun 20, 2018
Some of the contents of this course are interesting, but it seems that this course has been very affected by the changes that forced the cancellation of the last two courses of the specialization. Apparently, they had to redo it and there are even two fake weeks (the first one and the last one). It is a pity that they did not want to spend more time to reorganize it.
von Alexander S•
Aug 07, 2016
great course, but module 4 lacks a bit in structure. hard to follow. without the forum, it would not be possible to make it in time.
von Piotr Ś•
Feb 15, 2017
Dependence on GraphLab technology is a big minus. The lectures are poorly balanced in terms of difficulty. Apart from that - interesting course, I'm glad I took it.
von Aayush G•
Nov 10, 2016
This specific course traded off depth and detail for breadth of topics. Too many ideas were quickly described and not really built up to my liking.
von Adrien S•
Oct 07, 2016
Feels like this course in the specialization was a bit rushed, compared to the first 3 courses. It had 2 modules (first & last) that were more like placeholders and the middle 4 modules went from concept to the maths behind the algorithm very quickly. It needs a bit of work on expanding the course and presenting a bit more slowly. Having said all that, the concepts and algorithms taught are very interesting and a good first step into the unsupervised learning section.
von Kayvan S•
Feb 15, 2018
Great course but I think the workload could be spread across the weeks more. Also, I had a lot of trouble with the sklearn toolkit (probably due to installation issues.).
von Valentina S•
Aug 16, 2016
Interesting content but explanations are less clear with respect to the other courses of the ML Specialization
von Xiaosong L•
Aug 31, 2016
the homework is getting easy
von Saeed S T•
Sep 08, 2016
Overall a good and useful course, however:
A) They could do a much better job regarding LDA, standard Gibbs sampling, and Bayesian model and inference. Many slides on these 3 topics only contained some text and the instructor tried to "verbally" visualize the related important concepts. Hence not a good use of a video session.
B) Week 1 and the 1st half of Week 6 were redundant.
C) It would be much better to have a 7-week course with more topics and may be with some optional videos on Bayesian model, HMM.
von Volker H•
Jul 18, 2016
please rework in particular week 5, part 2
von Michael L•
Mar 18, 2017
slightly repetitive of classification course with no real use-case value except lots of math..
von Diego T B•
Aug 28, 2016
The retrieval part of this course is great, it deserve five starts. The clustering part was going well until it reached LDA.
The LDA module is very poorly covered, and also very hard to understand. I had to watch the videos more than two times to try to figure out what was LDA, and a Quora article posted in the Forum could explain it much better.
Then we get to the Hierarchical Clustering module, which was the most poorly module in all this specialization. There is only one video talking about HMM models, and Markov Chains deserve at least one week to even get started with it. And to complete, there is just one Assignment with only 3 questions.
The specialization was going perfect until now. I am very disappointed with this course. I hope the last two courses are much better covered and not just ran over like this this one was.