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: Christopher A•
Oct 17, 2015
I really liked the case study approach to the topic. The instructors' approach to teaching through the Python notebook made it easy to follow and see things implemented as you learned them. In addition, they presented the material at a good level - not too general not too detailed for an intro taste to the topic. The professors were engaging lecturers as well and I found myself quickly going through each week's content to get to the the enjoyable assignments. I'm excited for the other courses in the Specialization.
교육 기관: Stefan K•
Dec 28, 2015
Very good introduction to machine learning, the teachers and assignments are very well planned and executed. It is a course where you can spend more time, as the workload is bigger than at usual courses, but you learn a lot every week. I am really fan of this Specialization and I plan to complete the whole Specialization given enough time in near future.
교육 기관: Easton L•
Feb 25, 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.
교육 기관: Deepak•
Aug 24, 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. :)
교육 기관: Mohammad P•
Mar 08, 2017
Exceptional, my best course in Coursera
교육 기관: Shihab H•
Oct 31, 2016
Very easy to follow, well-paced, practical / not just theory, cheesy jokes :)
교육 기관: Mayuresh W•
Nov 23, 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 :)
교육 기관: Patrick F•
Jan 15, 2016
The course offers a great practical approach using sophisticated software. As a participant, I gain valuable knowledge on a wide range of applications.
교육 기관: Hari S•
Sep 25, 2016
Loved the course. Hope to do more soon.
교육 기관: Javier F•
Mar 20, 2017
simple, self explanatory and self enought to start playin with machine learning
교육 기관: Kowndinya V•
Mar 04, 2018
This course provide a very intuitive explanation of different machine learning models. It also has a good blend of hands on programming. Especially the combination of python notebook and graphlab give a unique experience. The visualizations from graphlab are amazingly good. It's really additive.
I would like to Thank Emily and Carlson for their great work in putting the right level of content for this course keeping the audience in mind. I feel bottom of my heart that I could really learn something significant and meaningful.
Overall, I must say it was an awesome experience.
교육 기관: Purbasha C G•
Dec 04, 2016
Great Introduction to machine learning. Found the Turi APIs and iPython Notebook approach very effective in getting acquainted to machine learning algorithms.
교육 기관: Michael L•
Dec 24, 2016
what an awesome mooc. incredibly practical, consistent, coherent and eye-opening! looking forward for the next courses in this specialization.
교육 기관: Hassan F•
Feb 08, 2016
Great overview of basic ML concepts in different situations along with hands on exercises. It was really helpful, with examples and little programming challenges that help learn easily.
교육 기관: Saravanan C•
May 26, 2017
The strategy of making people to become comfortable by first providing simple hands-on and building confidence is good. That will motivate them to stay along ALL the 6 course without getting perplexed. I see good team work! Thanks - I will strive to complete all the six modules.
교육 기관: Nicholas S•
Oct 07, 2016
교육 기관: Jose N N P•
Mar 30, 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.
교육 기관: Bei l Z•
Feb 05, 2016
Very good introductory course. Doesn't require good depth of programming languages. Gives a good overview of ML and data concepts.
교육 기관: Alexander S•
Feb 07, 2016
great and funny.
교육 기관: William D C•
Oct 22, 2017
Fantastic course, great 'learn-by-doing' introduction to ML, really entertaining teachers kept me alert throughout each session. It was great fun and I learnt a ton!
교육 기관: GAURAV B•
May 27, 2016
Simplistic approach taken to make understand a complex subject.
교육 기관: Enrique C M•
Dec 06, 2016
Brief but very good overview to typical Machine Learning models that are currently being used in many real applications. Nice and easy going teaching model based on case studies and lots of examples and practice during the assignments. For being only an introduction to this world, it was a quite interesting intro and now I am keen to follow up with the next parts of the specialization.
교육 기관: Chen Y•
Feb 18, 2016
It's a neat course
교육 기관: Luis M I M•
Feb 16, 2016
The way all the topics are introduced is great. The assessments are simple but its approach to real problems keeps one interested.
교육 기관: Chen Q•
Oct 04, 2016
Clearly course, but still hope to get more information about how to use other frame work