Oct 17, 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
Dec 20, 2016
Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.
교육 기관: Daniyar M•
Feb 17, 2016
I thoroughly enjoyed the course. I was hearing about Machine Learning so much that i decided to see whats the big buzz about, and big it was! Now i have some of the ideas for my own projects and some solutions for old problems. And must i say that the instructors are amazing, really love their job! Will definitely use graphlab in my work from now.
교육 기관: Teo J•
May 09, 2020
First of all, I want to say that the interactions between the two professors was, in the most academically professional way, adorable. They clearly know and love their material, and are clearly relaxed and enjoying teaching. It was easy to learn from them, the lessons were well-scaffolded, and I only wish I could take courses like this on campus.
교육 기관: Sabarish V•
Apr 18, 2018
The course is easy to follow. With the IPython notebooks that are already filled in complementing the teaching, everyone can appreciate the applications of machine learning. What's even better is that, because of the notebooks, one can see that one doesn't necessarily need to be very skilled at maths or coding to build their own application.
교육 기관: v s•
Mar 24, 2018
this is pretty cool, I enjoy this course and the dynamic between the instructors. This course touched on important concepts and purposely omitted the details of the underlying math and algorithm in order to give you a bird-eye-view of the ML landscape. It also wets my appetite to learn more about the details behind the magic! Good approach.
교육 기관: Alan L•
Dec 22, 2017
Amazing Introduction to ML. I came in with little understanding of ML and no Python or coding experience. I had to do most weeks twice while learning extra Python on the side from Code Academy but if a complete novice like me can do this anyone can! The professors are great- they're great at breaking down complex ideas into simple examples.
교육 기관: Bruno L•
Dec 19, 2016
In this course, you use ML algorithms that are already implemented to solve various kinds of problems. The goal is to give you a broad overview of ML and how it can be used to solve real life problems.
Subsequent courses of this specialization dive deeper in each algorithm. You'll learn the theory behind them and implement them from scratch.
교육 기관: Aldo V M•
Feb 25, 2019
Excellent course Carlos & Emily! I enjoyed your lectures a lot, ML is complex but you guys found the way to deliver the message clear, easy and in a funny way. Using real world examples was amazing. Guys could you let me know which other courses you are teaching? Ill be glad to continue learning from you guys. Many thanks, obrigado amigos.
교육 기관: Iurii S•
Oct 15, 2017
Great course! I like their approach of describing application first and then trying to use a fairly complete approach. Submissions in the form of quizzes and auto-graded assignments work better as one does not have to wait for other people to complete the course at the same time, which might be rare at the beginning and end of the session.
교육 기관: Nelson P•
Oct 30, 2017
Great introductory course to ML! I learned some valuable insights by building actual models using GraphLab. After taking this course, you'll have the foundations and overview of machine learning to take the follow up courses in the ML certification by same instructors or take any other ML course available out there. Highly recommended.
교육 기관: Rajat D•
Oct 20, 2017
I really liked the case study based approach of this course. It makes you hit the ground running by applying the concepts learnt in a lesson in the case study immediately. I also like the light hearted tone of the teachers - Emily and Carlos, which helps in retaining interest through some of the more challenging concepts in the course.
교육 기관: Sivashankar G•
Jul 17, 2016
This course is the right choice for someone who wants to get a high-level overview of the various fundamental concepts in machine learning and provides the zeal to pursue further. Concepts have been explained by the lecturers really well and quizzes and assignments help us to validate our knowledge of the concepts in a seamless manner.
교육 기관: Bharat R•
Jul 30, 2017
This course is a great way to get adequately detailed knowledge of Machine Learning Algorithms. The approach to it (case study based) makes it so much more fun and enjoyable that you can really apply yourself to it. The professors have simplified the most complex topics and explained it amazingly well. Happy to have taken this course.
교육 기관: Mesum R H•
Oct 16, 2017
A very very awesome course with exceptional explanations for each machine learning paradigms and use cases. The best thing for the course was the case study approach. I am taking this approach to train my people as well but over all thank you Carlos and Lady.. for the effort. Really hands on python and machine learning experience (Y)
교육 기관: Wilfrid L•
Jan 08, 2019
Very good course, I enjoyed the way the instructors structured and presented the material, in both a professional and personable manner, and the use of case studies to help solidify the knowledge. Assignments were very well built; although they used quizzes, it really required some thinking and prep work to get the answers right.
교육 기관: Sunil K•
Jun 23, 2017
This course has excellent content which is very relevant to Machine Learning practice in industry. However the assignments are little easy. I think this is because this is a case study approach and like an introductory course. I would strongly recommend this course for a beginner who want to learn how ML is being used in industry.
교육 기관: Tinsae G A•
Sep 24, 2016
It was very nice experience. Prior to the course, I heard about most topics. This course helped me to structure the ML concepts in my mind. I like learning by doing. The assignments in the courses really challenged me and I learned good practical knowledge. I am a beginner to MOOC courses, this course was a good start. Thank you.
교육 기관: Luigi P•
May 15, 2020
It's a great course as first approach to this fantastic world "machine learning". It provided to me a general overview about the potential and the state of art of that technology. This course fired up my curiosity to "deep learn" about mathematical concept behind the scenes and I very hope next courses can cover that knowledge.
교육 기관: DIONYSIOS Z•
Oct 02, 2016
One of the best courses that I attended so far in Coursera. If you already attended the Machine learning course from Andrew Ng or you have some idea of what is Machine learning about, this is the perfect next step. Explanations of machine learning 'buzzwords' and real python examples. Instructors are great. Highly recommend it!
교육 기관: Mubbasher K•
Jan 28, 2018
Excellent course, really appreciate the your hard work in creating easy to follow course, very good slides and presenting information and explanations step by step.... oh and also love the on-screen chemistry between both of you and engaging style with students. It has been an enjoyable course. Please keep up the good work.
교육 기관: Alejandro V•
May 12, 2017
This was a great introductory level course to machine learning. It was very practical and allows for one to really start employing ML techniques quickly without getting too bogged down by theory. It was a pleasure working in Python and with GraphLab for this course. Looking forward to the next courses in the specialization!
교육 기관: Steven R•
Jun 06, 2016
I learned a lot from this Machine Learning course! It was rather general, but that was what I expected from the first course in the series. In my opinion it was worth the money as the quality was high and it provided an extremely good starting point in this area. I'll definitely be purchasing the next course in the series.
교육 기관: Renato P•
May 29, 2016
Great course. I really enjoyed going trough all the classes with Emily and Carlos. The case study approach is also very compelling. Loved it and really recommend it to anyone curious about ML.
Some previous experience in Python is required, which I hadn't, so I had a quick Codeacademy python course that really worked well.
교육 기관: Prem S•
Feb 01, 2016
Got the best course so far to introduce me to the concepts of Machine Learning. Kudos to the instructors Emily and Carlos for providing a well laid out syllabus with an approach that was grounded on practical concepts and demonstrating hands on with real world examples. Hoping and requesting them to keep up the good work.
교육 기관: Giovanni•
Sep 14, 2018
This course offers a broad range of examples in ML. Clearly some basic knowledge of linear algebra and other concepts is needed, but I believe it is well structured to help those who're not so strong in math. It really is basic, though, so if you have already some knowledge in ML this will result sometimes a bit slow.
교육 기관: Layne C•
Oct 30, 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 :)