18 août 2019
The course was well designed and delivered by all the trainers with the help of case study and great examples.
The forums and discussions were really useful and helpful while doing the assignments.
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
par Supriya N P K•
9 déc. 2015
Its a very basic course and a good start to learn Machine Learning.
Course was pretty easy to follow and the real world examples helped to visualize the applications of Machine Learning. Its highly recommended for the students who are completely new to the Machine Learning.
par amal s•
28 avr. 2020
The course was awesome and i am willing to learn all the courses present in this specialization.Both the tutors are great and their explanation was incredible . Actually this course period is of 6 weeks but I completed the whole course within a week because of the tutors .
par Peter G•
26 févr. 2016
Very nice brief introduction into the field. Gives good overview of main concepts: 1) statements of problems in machine learning 2) approaches to finding solutions 3) methods to evaluate resulting solution . Systematic material presentation with good examples and analogies.
par Zachary N•
13 déc. 2015
Great overview of machine learning techniques and practices at a high level! There is sufficient material here to go from no machine learning knowledge (and a general programming background) to being able to create and deploy machine learning models for use in applications.
par Aman A•
26 mai 2016
Awesome way of teaching that too from a well qualified faculty. Rather than imparting theoretical knowledge, great focus is on practical knowledge that's what I like about this Course. Thanks to Coursera for giving me this opportunity to get tutelage from such an erudite.
par Mayuresh W•
23 nov. 2015
The course was well detailed and gave a good idea of what to expect when learning about machine learning and this specialization.
Covering each of the topics well with sufficient explanation and a small project was a great way to learn.
Looking forward to the next courses :)
par Gérard Y•
27 juil. 2018
Very good overview, the lectures were enjoyable to follow, and brought good intuition on the topics with a good sense of what was possible. The exercises were of reasonable difficulty, and not too hard to set up, allowed to get a good feel of the potential of Turi Create.
20 juin 2016
Exclude the last part, the whole session gave us the clear picture about machine learning -- What the machine learning is , how machine learning works and how to use machine learning to change the world:)
I love the course, it gave me a lot. Thanks Emily and Carlos again.
par Daniel R•
7 févr. 2016
It is a really well thought introduction for Machine Learning. It is almost unbelieveable that you could use every single technique in less than a month. Of course using a framework, but if you are really interested you could do them with open source tools.
It is amazing!
par Arjun P•
24 mars 2020
A very good course that gave me a jump start to machine learning application and got me right into coding the applications. This course takes a very different approach to teaching ML and I guess it works as it keeps me interested and makes me want more from this course.
par alexandre l f•
22 oct. 2017
Case study base approach makes this course pragmatical and business oriented. A great team with good tools and exercise which deserves a 5.
Note : math's background is low (or more exactly far from the target of this course) and might be a blocking point at some stage.
par Raphael K•
29 févr. 2016
Nice class, give a brief introduction to all the methods use in ML without going deep. If you just want to get an idea of what ML Technics are and how to implement them this course is for you. If you are want more technical details about ML this class is not for you.
par Yaobang C•
29 août 2018
I am very grateful to the coursera platform for giving me the opportunity to learn, and I would also like to thank the two professors for their careful preparation of the wonderful lectures. I learned about machine learning and fell in love with ipynb, thanks again!
par Jose N N P•
30 mars 2018
Excellent course and very challenging, most importantly, I have learned a lot and I have a great understanding of what machine learning is. Dr. Carlos and Emily are great instructors, and indeed engaging as well as passionate. Looking forward to taking the next one.
par Easton L•
25 févr. 2017
Emily and Carlos are really exciting teachers. This course covers fundamental concepts of Machine Learning and comes with very practical assignments. I've learned a lot from the this course and I believe it will make me ready for more challenging work in the future.
par Alan B•
14 mai 2020
Material was presented in a practical way, making it useful to relate the theoretical concepts to real life applications.
One suggestion might be to speed up the video while typing comments and mistakes while typing, etc. just to make the experience more enjoyable.
par Martin K•
26 mars 2016
First of all I want to thank you for conducting this course. I have learned a lot from the course. This course gave me basics understanding of machine learning. You did a good job presenting complex machine learning algorithms in a way that everyone can understand.
par don-E M•
13 déc. 2015
I have loved this course. The approach to learning is most fruitful as I have learned a great deal and had a lot of fun along the way. I am on the last exercise to finish the class after about 4 days. I am going to savor this last one because this was too much fun.
par Anatoly M•
16 avr. 2017
Great introduction to machine learning, not too much math but gives a good idea of what ML is + gives practice in Python (which was my initial goal).
The tests contained a few inaccuracies (they didn't completely match on my machine/setup), but otherwise was fine.
par Ravindra P•
26 mai 2020
Great Course to start with machine learning. When I started this course I heard bad words about turicreate. But I think it is very easy to work with this compare to pandas. And it will even save your time that you can invest in learning more theoretical aspects.
par Vinay S•
1 juin 2016
Very interesting and fun course for really complicated topic. The best part of the course is the recommended software tools they are brilliant designed especially graphlab.create. Both the instructors are really engaging and teach complicated topics really well.
par Ravindra M•
8 déc. 2015
Case study approach works !
I completed this course and found course materials present intuitive. Following courses go deep in each method.
Thank you Emily and Carlos :-)
A small request to Coursera to provide course completion certificate to free account like Edx.
par Varun M•
12 mars 2018
The course starts from very basic level and allows to apply the knowledge practically right from the start so the learner can start to see the results right away which makes it interesting and addictive to jump to next session or video to gain more knowledge.
par Rick P•
13 août 2016
Emily and Carlos provide a very fun and informative introduction to ML! I really appreciated getting a "blackbox" overview of the various ML methods before doing a deep dive into the algorithms. GraphLab and the interactive iPython sessions are great!
par mohammed e e•
8 févr. 2016
it's the best course of machine learning i'have token in my life,the method of teaching is great, the content is really fantastic, the instructors teaching skill is excellent and it cover lots of real world artificial applications so it's very amazing