Jan 17, 2017
excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!
Mar 01, 2017
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
por Mehul P•
Oct 03, 2017
Good ML overview.
por Stephan H•
Aug 12, 2017
Very challenging course. I learned a lot. Tanks.
por Brynjólfur G J•
Sep 25, 2017
Some problems with current and old versions of packages and problems with using other packages on different operating systems. Though that did also help foster an independent research style which will help me in the future.
por Subrata S•
Mar 09, 2017
Very good course. The content can be enriched with some more technical details behind the various techniques. There needs to be 1 more course on Practical Machine Learning in the specialization as 1 course is far too less for such a vast topic.
por Vincent G•
Oct 22, 2017
appropriately challenging material.
por Karthik R•
Aug 07, 2017
Bit tough, but I will have to say, good introductory course.
por Piyush P•
Jul 13, 2017
por Pieter v d V•
Jun 28, 2018
Very quick overview. If you really want to know something about it read the reference books.
por Sabawoon S•
Sep 14, 2017
Excellent course, very practical. Found the project challenging as preprocessing data required some knowledge of the limitation of the RandomForest method i.e. both train and test needs to have same classes of data with similar levels.
por Saurabh K•
Mar 09, 2017
Very useful course to develop level knowledge in machine learning.
por Jorge E M O•
Sep 07, 2018
The course rushes over a lot of concepts and it already shows its age - however, it's a pretty solid introduction to machine learning from a practical perspective. It will provide you with a lot of ideas for further investigation and exploration and in the end you'll end up with a wide vision of the machine learning process.
por Qian W•
Sep 09, 2018
need eva on my project
por Jakub W•
Sep 24, 2018
Vary practical approach, almost no theory or in-depth explanation of the subject, but a lot of focus on applying ML in practice
por Chonlatit P•
Oct 20, 2018
GREAT course! There are all base of machine learning field. The limitation is blur between basic and detail especially maths. This course, sometimes , show the maths that make you confuse if you're not familiar with them.
por Johnny C•
Oct 23, 2018
It was in general nice course. However, quizzes need improvement.
por Samuel Q•
Oct 24, 2018
Good course to get only the basics of machine learning. The assignments and quizzes are great but the lecture material is very brief and short. The references provided throughout the lectures are probably the best source of more information.
por Sheila B•
Aug 09, 2018
I've been working my way through the whole track, and this was by far the most complex material--but it was easy to understand because the videos were so clear.
I do have one bone to pick, though: the quiz material relies on very old packages. Again and again I had to finegle something so I could answer a quiz question. That makes you guys look like you are lazily sitting back collecting money but not really doing your job as far as teaching goes. It's time for an update. How hard is it to run your quizzes on updated packages and offer answers that are current?
Aside from that, I find that you explain material very clearly and you are my first choice for picking up a new data science skill.
por Grigory S•
Aug 28, 2018
A bit short on practical aspects of different models
por Terry L J•
Nov 09, 2018
Lot of good material, however, on all of these courses, it would be very helpful if they were better organized for learning.
Overview of learning objectives in a step sequence for a more organized approach for learning (maybe even a process roadmap map sequencing activity to follow that you can reference back to.
Detailed information for each step in the learning process that can be followed that maps back to the roadmap.
A summary of the learning objective in the roadmap sequence.
Basically, just like writing a paper, > overview/objectives > Main topics >subtopics, etc. > summary
por Diego T B•
Nov 07, 2018
Very useful. The models were very easy to understand
por Sulan L•
Nov 19, 2018
I hope we can have more détails in this cours and to see how to use the algorithms for the big data. Thank you.
por Erik K•
Jul 08, 2019
Very good. Learned a lot
por Sanket P•
May 27, 2019
por Oliver S•
Jul 26, 2019
A reference solution for the quiz questions as there are in some other courses in this specialization would have been nice, since I got sometimes very different results using the newest versions of the libraries and I'd really like to know, if I made any big mistakes and it's not only because of my setup.
por Caio H•
Aug 23, 2019
I learned a lot in this course, but I would recommend taking the courses in order.