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.
Aug 31, 2017
Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.
par Robert K•
Sep 26, 2017
A great introduction to machine learning and it does a good job building on the material from the previous classes.
par benjamin s•
Jul 09, 2018
Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content
par Jay S•
Aug 27, 2016
Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.
par Jerome C•
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!
par Jorge M A A•
Apr 13, 2016
I enjoyed a lot this module, I'll use at my daily work some of the features I learned
par Edward R•
Dec 17, 2017
Great course, but it may take you more than the allotted 4 weeks if you intend to dig a bit deeper and pursue some of the additional resources referenced throughout the course. I would definitely recommend doing that, as there is A LOT of material to cover if you, like me, just have to know the details of what's happening behind the scenes.
par Billy J•
Apr 13, 2016
Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.
par Arunkumar M R•
Sep 30, 2017
Awesome course. Super effective quizzes.
par Nirav D•
Apr 02, 2016
This is a very useful course in Machine Learning that teaches us how to use the R based packages such as CARET for applying machine learning techniques. The course project helps understand how these techniques are applied in real world applications and develop useful insights.
par Supharerk T•
Mar 07, 2016
I want to learn ML in R so I go straight to this course without taking any other course in this specialization, and it doesn't disappoint me. Thanks for a great course!
par Pei-Pei L•
Jul 27, 2017
This course covers a lot of information in a short time, but you'll feel very proud of yourself when you finish it! It made me feel much more comfortable with writing machine learning programs, and am ready for the next topic!
Jul 09, 2016
Great primer for machine learning with ample additional resources for those who are interested. I feel this course gave me a solid basis to delve deeper into the topic.
par alberto p•
Mar 08, 2016
Very practical and goal-oriented
par Nikhilesh J•
Mar 02, 2018
Provides a quick and dirty look at Machine Learning. An easy way to get started.
par Avirup N•
Mar 07, 2016
par Pam M•
May 19, 2016
Good material, presented in an organized fashion. I was able to apply what I learned immediately in a work setting.
par Fernando S e S•
Jul 24, 2016
It's hard as hell, and very good.
par Jair G•
Jan 20, 2017
Top 3 course of this specialization.
Dec 13, 2016
Awesome course. Jeff Leek does a truly amazing job at explaining very complicated concepts thoroughly and quickly. I'm surprised we went through as much material as we did. Out of the 9, this is one my favorites.
par Javier A D•
May 27, 2018
References were very usefull for doing deep analisys in the thems
Quices were challenge.I learn a lot solving them.
I mis the swirl sessions
Apr 27, 2016
One of the most valuable courses in the specialization!
par Aleksey K•
Feb 10, 2016
Made many things clear. Perhaps, the best class in the series.
par Martin S•
Feb 26, 2016
Very practical tools and also very encouraging!!
par Camilla J•
May 12, 2018
This course was really informative and extremely efficient by letting you know just the few basics needed to build some quite advanced models such as random forest..
Mar 23, 2016
I like the organisation of the course. The first video is so informative yet so simple. Great resources have been listed in it and so subtly. Also I saw the organization of folders and lecture notes and everything in Github repo for this course. It s awesome. I keep stuff like that.. well numbered and everything. I really appreciate it as it makes life of a student lot easier. Thanks.