16. Okt. 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. Aug. 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.
von Anindya S•
2. Jan. 2016
Dr. Carlos Guestrin and Dr. Emily Fox are amazing. Needless to say, their way of teaching is absolutely brilliant and fun to learn, concepts which took me few days to learn now takes an hour or so, this is primarily due to their mastery on the subject matter and their lucid way of teaching.
von Roberto C•
22. Okt. 2015
I really liked this course (I have one week to finish, but I have enough data to judge). The professors are really pedagogic and the examples are really clear. The only thing is that I would rather have more difficult programs, I feel like that I do not have much to think to pass the tests.
von Phuong N•
23. Juni 2017
I really love this course. After the first course i get the basic background machine learning. I can see everything that machine learning can apply. The course just easy to understand and give me one years trial graphlab lib for python which is useful for me can access machine learning .
von Abhijit P•
17. Juli 2017
Excellent course to get you started with machine learning. Both the presenters bring a in lot of their expertise and experience to make this course fun and engaging. Lot of examples are shared which help to understand the topics in a much better way. This training is really top notch. I
von Khandaker S M•
11. Juni 2020
Introduces you to this really powerful python library 'graphlab'. As a beginner, sometimes I found it hard to solve the programming problems. Also there should've been a video on how to install graphlab. I think this was the hardest part :v A really good machine learning course overall
von Wan S L•
12. Juni 2016
One of the best courses I have learnt from Coursera. I love the way the lectures are presented, and how great our teachers guide us through it! I love the materials given, the projects and assignments, and the fun part interacting with teacher. Overall, five stars! Highly recommented!
von Moez B•
3. Jan. 2017
Excellent overview of machine learning and a great approach (case-study) to introducing the field. The instructor were fun and did an excellent job. Looking forward to the rest of the specialization for a deeper work with the math and algorithms behind the various techniques covered.
von Freddie S•
25. Juli 2016
The instructors have taken great care to make "machine learning" human "learnable"! The concise unified ML framework, intuitive real-world case studies, and introductory coding exercises provide students with a very helpful "roadmap" for understanding and internalizing the material.
von Carlos D M•
21. Dez. 2015
Well-paced. Assignments are well executed. They are challenging enough to really force me to learn but not too easy that I'm feeling like I'm wasting my time.
This class in particular was somewhat high-level and left me very interested in the rest of the classes in the specialization.
von Lingqi Z•
28. Sep. 2015
A great course for beginners. Unlock the power of machine learning in a quite non - mathematical way. But even for people who are familiar with machine learning, you can learn some good pratical programming toolbox to help you prototyping or develop your machine learning application.
von Daniel S•
12. Dez. 2015
I think this course is an excellent introductory survey of the topics and technologies relevant to machine learning. The teaching method is much more than a mere regurgitation of facts and contributes to an environment where topics can be truly learned and applied in the real world.
von Satish M G•
8. Dez. 2016
This is an excellent course provided by the creators of this course. My sincere appreciation to both of them. The length of theory and practicals are very appropriate. I am very sure to continue all courses and finish them and master them. Thanks coursera for providing this course.
von Saravana P P•
20. Dez. 2015
This course gave an introduction to ML concepts and applications. This course is good for absolute starters, as it doesn't scare the learner with hard core theoretical concepts. I learnt a fair bit about the overall ML scenario. Thanks to the instructors for making it fun to learn.
von Saravanan C•
26. Mai 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.
von Ashar M•
23. Okt. 2016
Great course, focused on practical learning and some of the widely used applications, such as sentiment analysis, product recommendations, image recognition etc. The videos are crisp and to the point and you will appreciate the amount of knowledge they pack in a very short time.
von Genyu Z•
20. Jan. 2019
This course is very useful. Firstly, it helps me to build a perfect python environment. Secondly, it teaches me how to use jupyter notebook correctly. Teachers are very kind, and I like their teaching ways. If I can build algorithm without graphlab, it will be more challenging.
von Alberto V H•
14. Jan. 2017
A very good introduction to foundations of machine learning. The learning methodology based on study cases is amazing and gripping and the ipython notebooks used in the practical sessions are very instructive. Strongly recommendable for everybody who want to start in this world
von Andre J•
18. März 2016
These Machine Learning classes have been fantastic so far, really enjoying them. Very good coverage of topics and challenging exercises to drive home the learning. The effort put into developing the classes has been superb and I look forward to the rest of the specialization.
von Haritz P•
1. März 2016
I really enjoyed this course. It's a very good introduction to Machine Learning. I already know a little bit of machine learning, R and Weka and I liked this course. I learned Machine Learning in Python and a little bit of NLP. I'm very excited to complete the specialization!!
von Rohit G•
10. Dez. 2015
I really loved the course ! It helped me greatly to gain an overall idea of the aspects of machine learning at the outset itself without confusing me with intricate details of the course and yet introducing to everything in there at a glance !
Really keeps you hungry for more !
von Maria Z•
16. Okt. 2017
Great course, thank you very much! I had no previous experience with ML or programming, that was quite challenging for me to pass the assignment, but it was possible The material is being taught by the tutors very clear. I'm sure to continue my education with further courses.
von Zachary C•
29. Apr. 2017
A great primer on the various high level concepts in machine learning and some general applications as well as good quick intro to graphlab create. I was originally apprehensive to use another data science tool outside of panadas, but now think graphlab create is even better.
von Miguel A P L•
28. Nov. 2016
Before taking this course I would not consider the topic as something that one could learn by himself.
The Course has opened my mind and has showed me that there is a lot to learn and study in order to fully master ML and AI in order to use it in the applications we can build.
von Gurunath M K•
30. Sep. 2019
It was truly informative course. At the end of the course, I am sure I can say I know the all the key concepts behind Machine Learning. In near future, my focus will be be try to implement in relevant use-cases around. Thanks Accenture LKM and Coursera for facilitating this.
von Supriya N P K•
9. Dez. 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.