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.
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
교육 기관: Andrew T•
Nov 06, 2015
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.
교육 기관: Willem v G•
Mar 20, 2018
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.
교육 기관: Balaji S•
Jun 28, 2017
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
교육 기관: Balaji C G•
Jan 09, 2017
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.
교육 기관: Robert G•
Oct 29, 2015
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.
교육 기관: Abdulrazak Z•
Jan 15, 2020
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.
교육 기관: Daniel A•
Sep 16, 2017
Great course covering the key models, concept and applications in machine learning. Instructors showed good pedagogy, teaching complicated concepts in ways easily understood. Requires some basic knowledge of Python.
교육 기관: Gustavo B•
Sep 17, 2016
For me this is the best course for Machine Learning Foundations that I watch. It was challenging for me because I did the assigment with R packages. I hope on the future for doing other courses for the specialization.
교육 기관: Uduak O•
Dec 12, 2015
Excellent course content with emphasis on real-life applications
Great teaching tools and I particularly love the teaching style of Carlos and Emily. Going on with this specialization till the very end.
Great work guys!
교육 기관: Soumen D•
Nov 16, 2016
Love the way the subject is introduced. The course increased my interest for machine learning and also made me understand the power of machine learning first hand. Thank you, Prof Carlos , Prof Emily and entire team.
교육 기관: Pedro E C T•
Jul 20, 2017
Un curso muy bien explicado, fácil de entender y unos profesores que consiguen mantener la atención y absorberte en el tema.
Lo recomiendo 100% para iniciarse en los modelos y entender los algoritmos simples de ML.
교육 기관: Brian S•
Sep 27, 2017
Loved the case study approach and how it relates to real world problems. Utilizing graphlab also helped abstract away a lot of the details, but I look forward to diving deeper with the rest of the specializations!
교육 기관: anirban d•
Aug 19, 2019
This stream along with Andrew NGs is the best ML course available in Coursera. The lectures, especially from Emily's are one of the best. It is perfect for both experienced and newbies. Thanks, Emily and Carlos.
교육 기관: Shekhar P•
Apr 05, 2016
Awesome course ....Both Professors are very intelligent and teaching perfectly....Step by step explanation and also never feel bore because presentation styles are also very best. Thanks professors and Coursera.
교육 기관: Aniket R•
Feb 06, 2016
The case study approach makes it fun to learn machine learning. The introduction to various topics through specific examples increases curiosity and sets the tone for the following courses in the specialization.
교육 기관: Alessio D M•
Dec 07, 2015
I think the course is really COOL :) I know that it's really hard to cover so many topics, but I would have been curious about the area of reinforcement learning too. Perhaps mentioning MDPs and related models.
교육 기관: Lin V•
Feb 20, 2016
Thank you very much for providing us this cool and exciting course. Thank you, Emily and Carlos. It opens a door for me and I've really enjoyed ML so far. Hope one day I could be part of the UW. All the best.
교육 기관: Cristina E•
Feb 12, 2016
Very good explanations and well-thought out assignments and practical exploration. The usage of the proprietary GraphLab software was a minus, but since it was used just for exploratory purposes, no harm done.
교육 기관: Hossein N S•
Feb 09, 2016
This course was very usefull tome as it was implemented in a way that it's easy to understand the core of the module and the subject.
I understand and it prepared me for the rest of the Machine Learning courses
교육 기관: Ethan G•
Nov 23, 2015
This was a great intro course to the topic, and the instructors both make complicated concepts accessible. For example, the explanation of non-linear features in deep learning is extremely clear and intuitive.
교육 기관: PRAVEEN R U•
Aug 23, 2018
This will be really helpful for someone who really wants to start the ML journey and not sure where to start. The content was designed well to suit people across levels and technologies. Strongly recommended.
교육 기관: SANDEEP•
Jul 28, 2018
To define how machines can learn, we need to define what we mean by “learning.” In everyday parlance, when we say learning, we mean something like “gaining knowledge by studying, experience, or being taught.”
교육 기관: Adrian L•
Jul 10, 2020
Friendly introduction to basic concepts and how to put them in practice to start diving into the exciting ML world that is all around us nowadays, specifically during current uncertain and challenging times.
교육 기관: Lokesh K•
Jan 27, 2019
I appreciate the effort you kept for this online course.Actually I enjoyed learning here.But you can be little bit more detailed in the ipython notebook code explanation. Otherwise ,this is the best course .
교육 기관: RAMESH K M•
Feb 08, 2016
Course is really taking a practical approach towards machine learning, with theory and practical classes side by side. Thanks to Course era and University of Washington for providing a wonderful opportunity.