Oct 14, 2017
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
Sep 09, 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
创建者 Thomas W•
Mar 06, 2018
创建者 Manuel T•
Jan 14, 2018
very good course: fast-paced, very straight-forward explained. Assignments do make sense and repeat what you learn during the course. I can recommend it
创建者 David A d A S•
Jul 31, 2017
I learned a lot of fundamentals machine learning. The lectures are very clear and the assignaments focus on practical examples.
I recomend this course for everyone who want to have a global view of machine learning.
I enjoyed a lot.
Jul 02, 2017
Very Impressive and illustrative !!
创建者 Daniel C C•
Jun 22, 2017
创建者 Paul M S•
Jul 31, 2017
Very informative and educational
创建者 Martin H•
Jul 06, 2017
very excellent course, must take if you are welling to deal with data and applying ML al. to it
创建者 Ebenezer A W•
Nov 15, 2017
A really nice course to begin machine learning with
创建者 Jephter K P•
Sep 05, 2017
This was an opportunity i could never miss, i have learnt a lot
Dec 14, 2017
The last homework is great and interesting.
创建者 Nattapon S•
Aug 03, 2017
It is a good class. I learn a lot from this course. It is a concise starting course for Python machine learning. I recommended this course.
创建者 Jim S•
Jul 02, 2017
Excellent content and delivery.
创建者 Jakob P•
Sep 02, 2017
Fundamental, but still thorough, course in applied machine learning using Python. The lecturer is really good, and the quiz/problem sessions are challenging, but sufficient information is provided in the videos -- a HUGE improvement compared with the first two courses in this specialization.
创建者 Srilatha T•
Jan 09, 2018
创建者 Artur A•
Aug 04, 2017
Best introduction to sklearn library I came across!
创建者 Pooja C•
Jun 17, 2018
Helped me understand the fundamental concepts and practice them with assignemens. I highly recommend this course.
创建者 Matt R C•
Feb 15, 2018
The course was very well prepared and the instructor presented the material clearly and informatively. I've seen some courses where you spend more time trying to understand and keep up with the instructor. In this instance, this was not the case and you could spend more time understanding the material. The instructor spoke slowly and clearly.
I do have to say I purchased the corresponding book as recommended but I didn't feel it was necessary. Good book, I just think the material in the course was presented well enough on its own.
创建者 Dipanjan S•
Jun 24, 2017
Excellent clarity, recommended for getting started with ML
创建者 Piotr B•
Jun 01, 2017
创建者 Refik E•
Sep 20, 2017
I thank Dr. Kevyn Collins-Thompson and Coursera team for the excellent course. I have learned valuable skills from the course. Dr. Thompson explained ML concepts very skillfully and made the course fun to follow. Assignments are very well selected and reinforce the class concepts. Over-all the course encourages learner to investigate and apply different ways to do same task. I recommend this course to those who are willing to learn machine learning and can't decide where to start.
Aug 13, 2017
Very good machine learning course working on python with little mathematics.
创建者 Dongliang Z•
Dec 22, 2017
Very good lecture for beginner:easy to understand.
Also good assignment: force you to use what you learned in the course.
The discussion forum is helpful when you meet difficulties in assignments and quiz.
创建者 Peter D•
Nov 06, 2017
Nice pragmatic approach how to apply machine learning. Compelling examples, datasets and useful tips how to visualise features.
创建者 Fabio C•
Jun 22, 2017
The course is well done and both the lectures and the practical assignments have generally a high quality. If you come from a theoretical background, be aware that this is a very "high level" course, meaning that a lot of attention is put on the practical application of the different ML methods (using the sci-kit learn library in python), but very little is said about their mathematical foundations.
创建者 Dylan E•
May 03, 2018
I enjoyed this course it was fun and very informative. This course also gave me a bunch of resources such as The Elements of Statistical Learning which is a great book!