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: Mohammad M•
Dec 25, 2015
In one word, AWESOME. Made a lot of sense for beginners. Certainly recommended whoever is new to machine learning. Thank you Emily and Carlos. I cannot tell you how much help I have received from it. Looking forward to rest of the specialization.
교육 기관: Gustavo K A•
Jan 03, 2016
It brushes over all major topics in current applied ML and by the end of it you can have a taste of what it is like to apply ML to practical problems.
The best part is that it is a hands on approach, where you will be coding and solving problems.
교육 기관: Abhishek M•
Aug 10, 2016
The course covers wide range of topics along with the real world examples in simple language , The assignments are superb, they help you to grasp the concepts in much detail and sets a strong foundation . Would definitely recommend this course.
교육 기관: Stefano T•
Nov 30, 2015
The course is very intuitive and easy to follow; nevertheless it never falls in banality. It really gives you the wish to dive deeper in the machine learning world.
A big thanks to both teachers; their love for this science is very contagious!!!
교육 기관: Samuel d Z•
Jun 17, 2017
Great Course, so much valuable information and in combination with Python/Graphlab, I think it is perfect when starting out on ML. Looking forward to the other 3 courses in this series. Lectures are both perfect and tempo is exactly as needed.
교육 기관: Ghiath Z•
Dec 12, 2015
I really like this course, it helps me to ramp up with machine learning topic. moreover, it keens me to continue the specialization and dive with the notions mentioned on the lecture, and i won't forget to thank the lecturers Emily and Carlos.
교육 기관: Rohan V•
Feb 13, 2019
this has been one of the best courses that I have taken online and the output from this is seriously amazing. It really makes your brain work and the forums make sure you don't get lost. I am definitely going to do the specialization course
교육 기관: Shouvik R•
Nov 27, 2016
This was a great introduction to the field of machine learning. Full with practical examples and hands on homework the course really catered to my learning style. Although the initial weeks were easy, the last week gets pretty challenging.
교육 기관: Taylor N•
Dec 21, 2015
Great opener, and I learned some good algorithms that I can already apply. Really liked how they walked you through every problem for the quizzes too--the later course was not like that, a bit more difficult with the quizzes, for sure.
교육 기관: Abhinav U•
Nov 01, 2015
Liked the interactive exercises and coding assignments, you can actually play with your own datasets using the ideas shown in the course and learn to apply the concepts. The course is really very basic but can be a good starting point.
교육 기관: Jafed E•
Jul 06, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
교육 기관: Wilmer S C•
Jul 10, 2017
I think it is a very useful starter course to dive into Machine Learning concepts and a little bit of practice. I am looking forward to the next course to begin implementing and of course, understanding more thoroughly these concepts.
교육 기관: piyush s•
Nov 01, 2015
Excellent course. I would have preferred sample code with Skitlearn and other Python packages as well because I believe still 95 % of the people use those. I liked the Sframe but I don't see right now many people using it in industry.
교육 기관: Michael H•
Jul 21, 2016
Really great introduction to machine learning and the various methods used. I really liked the length/structure of the lectures and found the assignments to be fun. I also really liked the dynamic the presenters have with each other.
교육 기관: Daniel V•
Mar 27, 2016
An easy, not simple, but humorous approach to a broad topic with practical samples that you can build on for further studies. Good for newbies as well as a fresh up for advanced applicants. Looking forward to the follow up courses.
교육 기관: Andrew R•
Jan 19, 2016
Great overview of different machine learning techniques. You don't learn much about implementing the individual techniques in this class, but you get a broad overview of many different techniques, which is the point of this class.
교육 기관: Miguel R•
Jun 04, 2019
Muy útil para empezar a conocer los conceptos básicos de machine learning, con casos comprensibles y útiles a través de python.
Los vídeos son muy explicativos y la corta duración de cada uno permite adaptarlo a cualquier horario.
교육 기관: Ganesh K•
Feb 10, 2019
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.
교육 기관: Thomas K•
Apr 01, 2018
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.
교육 기관: jose l v•
Dec 05, 2015
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.
교육 기관: Deleted A•
Sep 16, 2016
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!!
교육 기관: Patrick N•
Feb 18, 2018
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!
교육 기관: Adil A•
Dec 15, 2017
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.
교육 기관: Gustavo S•
Oct 30, 2016
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
교육 기관: Varun S•
Feb 08, 2016
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.