16 oct. 2016
Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
18 août 2019
The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.
par Layne C•
30 oct. 2015
This is a very good introduction to ML. I felt that everything was presented in a very straight forward manner. A little more guidance on installing python and jupyter would be beneficial for those that have not used python packages much.
Overall a great course and I am looking forward to the more in depth courses :)
par Scott v K•
26 sept. 2015
Great overview and engaging introduction to regression, clustering, classification, and deep machine learning with hands-on ability to see some of these practices in action programming exercises in Python. Good introduction to the more in-depth materials which will be covered in other courses in the specialization.
par Ashu P•
13 juin 2020
A good course for a specialisation. I faced Little problem in downloadins of graphlab,turicreate,matpotlib .as it was mention to download only turicreate.........but I had to download all graphlab and matpotlib. But the trainers were just awesome. Explanation of the Topics with examples were really understandable.
par Zheng L•
24 oct. 2019
This course is very interesting and teaches you the basic concepts and practice applications of machine learning technics. The only drawback is that this course rely heavily on graphlab package which cannot be used in Python 3.7. Took a long time to search for alternatives in sklearn instead to finish assignments.
par Adil A•
13 oct. 2016
This is an excellent course... One can tell that a lot of effort went into making this course fun and easy to work with... Almost certainly the most fun to work on course I've taken on Coursera so far... The instructors are very nice, the video lectures are fun and the assignments are easy and fun to work with...
par Vijay K•
8 mai 2020
It was greate and complete foundation course on ML which i have taken by University of Washington department. The lectures are very clear and can adopt to the real world problems. i am very much thank full to the faculty for such an wonderfull case study approches given in the entire course.
thank you once again.
par Fakrudeen A A•
5 août 2018
Excellent course and highly recommended - covers fundamentals, TF-IDF, cosine. jaccardian similarities, recommender systems (precision/recall, AUC), deep learning via transfer learning (not having to explicitly build a model for the problem).
Exercises could be done in some tool which is common across industry.
par Bola M•
19 juil. 2016
Awesome course! Only gives an introduction into the Machine Learning topics but does it well. As a Technical PM in the software industry, this was enough depth for me to understand the basics of machine learning algorithms. Also has good hands-on tutorials with Python to implement the algorithms which is great.
par Jorge H•
6 nov. 2016
Excellent course!!... It has been the best online course so far. I really enjoyed the Use Case approach, and got really excited with the fact that –although being an introductory course- I got really a good intuition and hands-on experience about use of machine learning for real applications.
par Carol V•
27 févr. 2017
This course helped me develop a good understanding of complex machine learning concepts.
The tools were easy to use and helped me learn quickly. Unlike other programming classes I've tried in Coursera, I did not have to deal with programming environment related problems. I learnt important python skills also.
par Pattadon N•
11 sept. 2021
This course will you the important foundation of machine learning and learn how to use the machine learing models on the real world problems. But, the contents in the video are a little bit old, however they are still great. I like both two professors a lot to have some funny moments and that's not boring.
par Baranitharan S•
14 avr. 2018
The course sets a strong foundation for someone who wish to specialise in the AI and ML space. The course content is easy for a beginner with a very little or no (you gotta believe it) software coding background. The instructor are awesome and help you to go thru the course with ease and not getting bored.
par Srividya N•
1 nov. 2017
There is so much of flexibility. It is so cool and so interesting... I could complete this complex course so easily with some of the key activities like below:
taking quiz questions multiple times with no penalty
simple English and explanation of complex information in simple and easy terms
par Waleed O•
4 mars 2017
this is course is very good for a beginner who wants to know what is machine learning , why we want this , what is its application .
also you will understand many algorithms used to manipulate data to do very cool applications and you will do this yourself .
they made it very easy to understand , thank you .
par Xiangwei C•
8 juil. 2016
It is a very well structured and effective course. I really learned a lot of machine learning techniques that I can use immediately. Both instructors did great job explaining the concepts and algorithms. Very powerful python tools are introduced, and I love them! Definitely worth the money that I paid for!
par Gaurav S•
20 mai 2020
Emily and Carlos have done a great job in preparing this course. This course is for anyone who doesnt have any background of Machine learning. The hosts have taught the course by implementing a practical approach. I have learnt a lot out of this course and i hope to complete the remainder of the courses.
par Chengyu H•
16 sept. 2016
It is a good introduction to machine learning with cases. It explains all the big concepts in a high level, and uses all the out of box functions of graphlab to implement those ideas. Do not expect to have super detailed understanding of all the algeralisms and step by step how to do it from scratch.
par Aashritha K•
30 août 2020
I found it very useful in terms of getting used to python programming, jupyter notebook and machine learning concepts. The case study approach gave me an opportunity to immediately apply the machine learning concepts learnt in the course. The course structure is very well organised to do the same.
par Stephen M•
13 déc. 2017
Great SURVEY of use cases and methods in machine learning and an opportunity to familiarize yourself with Jupyter notebooks, Python and GraphLab Create. This is an orientation to machine learning; none of the use cases or methods are covered in great depth (that comes in the courses that follow)
23 août 2016
This course gives overview of what we are going o learn ahead in machine learning course. Carlos and Emily they both explain stuffs in very detail manner. IN fact it so much fun to learn when you understan thing and specially these cool stuff i hope to see some more courses on this in future. :)
par Shuai S•
5 déc. 2017
I think this course is a quite cool fundamental Introduction. After finishing the course, you can do real things like building a MPC (Model Prediction Control) system using regression technique and so on. I fully encourage you guys joint this course for a getting started step into the ML field.
par Aislyn N R•
26 août 2016
Very well presented! The tools are explained and provided in a way for genuine learning and application. The jupyter notebook assignments allow one to jump into the material, while taking detailed notes along the learning 'journey'. I am excited for all the other courses in this specialization!
par Partha P M•
20 déc. 2016
Learned iPython Notebook which is good for Machine Learning.Helped me to understand the basics of all the ML techniques and helped me understand where to apply which ML model. This course will not teach u ML in depth , for in depth knowledge u have to take other courses in the specialisation.
par Yogeshwar G•
28 avr. 2017
It was amazing! I cannot describe the feelings one experiences when playing with the machine learning codes. My only complaint is that I would have wanted more in the neural network/deep learning module, but I guess there will be another specialization course for that. Thank you Professors!
par Willismar M C•
31 août 2016
It was a great course, showing the general applications of machine learning and great tutorial in how to implement the solutions without the technical and theoretical part of it. Also the use of IPhyton give a lot of flexibility to the material and the exercises. I really enjoyed. Thank you