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.
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
von Ganesh K•
Learning things with good use cases always lot better. This course really helped a lot to understand machine learning clearly. Throughout this course the explanation of the concepts are so clear and assessments are so intuitive.
von Thomas K•
very nice, no bull-shit introduction into main concepts from a practical perspective. It showed both easily exploitable possibilities in the field of ML as well as the outline of a huge horizon which might reach far beyond this.
von jose l v•
This is a very practical an easy way to understand what is behind the ML world. Also, there are a set of tools in this course that would let you implement basic smart applications. I am ver pleased for being part of this course.
von Deleted A•
I really enjoyed this course. The case study approach and the IPython hands-on gave a good understanding of the concepts discussed in the lecture videos. I'm looking forward to complete the specialization. Highly Recommended!!
von Patrick N•
I enjoyed this course as a high-level overview of the basics of machine learning. While I liked the use of Jupyter and Python in general, I would have preferred that the course use scikit-learn. Overall, solid and fun course!
von Adil A•
People who likes top-down learning approach should start ML from this course.
Instructors explain basic overview then follow with interesting practical tasks that makes you understand the topic much better.
von Gustavo S•
Very cool course. I can say is the best course for intro to a big science called machine learning, have a lot of good real life examples, with gread mathematical understaing of how things works, i thinks is really cool course
von Varun S•
It was indeed a very well designed course that not only gave a great overview of various machine learning techniques, but also gave hands-on experience in implementing those techniques. Loved Dato. GraphLab Create is awesome.
von Sergey T•
It was instructive, easy to follow and fun to learn! Great thanks to Carlos Guestrin and Emily Fox for creating this excellent course! And thanks Coursera for making the high quality educational content available to everyone.
von Lu E•
A very great course !!!!! Two teachers are doing a good job. They use a kind of practical way, case-study, to teach me lots of practical machine learning knowledge. I will learn the next three courses in this specialization.
von Farrukh N A•
I like the approach the course is designed on, starting with basic know how about all machine learning techniques. Later on dedicating a course on each individual approach. I am looking forward to complete my specialization
von Massimiliano C•
very good course, complex topics explained through intuitive and practical use cases, in short time provides an overview on Machine Learning and gives the student the chance to go in depth if necessary.
I liked it very much.
von Kenneth L•
An excellent overview of Machine Learning. Whether catching up with nascent developments in the recent years or first diving in, this class provides a stable, well rounded and well thought out starting point on the subject.
von Enrique d P•
Great! I found it really interesting! It's a great introduction to Machine Learning, different areas, solutions and applications. You can apply different methods to real data, but you only need basic programming knowledge,
von Robin H•
Very essential knowledge about how to get on track of ML and it did very handy for the beginner, who has qualified with the criterions of class candidate. Thanks for the effort in the class arrangement and online teaching!
von Thales P d P•
Excellent material to introduce such a broad topic as Machine Learning. The highlight is definitely the video lectures with Carlos and Emily whom never lose sight of the didacticpurpose and target audience for the course!
von SATYAM S•
An amazing course with interesting content and course structure, an in-depth explanation of various machine learning concepts and multiple worksheets that require hands-on practice of the concepts taught in the lectures.
von Jaisimha S•
Very good course. Great material, good challenging programming assignments. Emily and Carlos are superb. --- > Wow. Amazing. Love it...now you know I'm using all the positive feature words in their sentiment analyzer!!!
von Dinesh P•
This course fulfills its promises. Foundations and relevant tools are introduced via case study. Both theoretical as well as practical reviews are done before leaving for next topic. All in all, good introductory course.
von Andrew T•
I enjoyed this course a lot! The case study approach is very helpful to quickly understand how to apply the theory to the real world problems. The course materials are very well organized, especially the lab assignments.
von Willem v G•
Both instructors are very good at explaining the concepts of ML. Also the practical part of the course working with Python and Jupyter notebooks definitely helps in understanding the concepts and apply them right away.
von Balaji S•
The course is a perfect introduction to machine learning. I hope the upcoming course will reveal the abstraction of algorithms used in this course. The instructors are awesome. The materials are very easy to understand
von Balaji C G•
The case study approach for explaining machine learning concepts is commendable. This kind of approach will not only help in cementing the concepts but helps in making decisions when it comes to real-life applications.
von Robert G•
These instructors are among the very best I have encountered as a veteran of dozens of MOOCs. Their expertise in the subject matter, presentation and pleasant manner made this a highly pleasurable learning experience.
von Abdulrazak Z•
REAL-LIFE artificial intelligence applications. The examples were so good and real match to the reality, so in this course, I wasn't bored by theoretical information but I have seen its benefits with the code I write.