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
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.
創建者 Daniel A•
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.
創建者 Gustavo B•
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.
創建者 Uduak O•
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!
創建者 Mehar C S•
It was a really nice way of presenting ML concepts using Case Studies. Giving students an idea of deployment right from the start helps in thinking of an architecture of the system for any project that comes forward.
創建者 Soumen D•
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.
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.
創建者 Brian S•
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!
創建者 anirban d•
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.
創建者 Shekhar P•
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.
創建者 Aniket R•
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.
創建者 ROBIN S 1•
Thoroughly enjoyed this course! Really loved the case study approach of teaching. The instructors are excellent as well, throughout the course it felt like I was hanging out with my friends building cool stuff!
創建者 Alessio D M•
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.
創建者 Lin V•
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.
創建者 Cristina E•
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.
創建者 Hossein N S•
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
創建者 Ethan G•
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.
創建者 PRAVEEN R U•
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.
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.”
創建者 Carlos A M•
Pretty Cool as Foundations in ML!!! If you already have expertize on Pandas and python you would find this course as a good entry point for Machine Learning as the point of view is 50/50 theorical/practice.
創建者 Adrian L•
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.
創建者 Lokesh K•
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 .
創建者 RAMESH K M•
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.
創建者 DURGESH G•
This course will provide a deep and elaborated knowledge about basics of machine learning and deep learning. Both the instructor Emily And Carlos are very good they cover each and every point of discussion.
創建者 ANIMESH M•
Such an amazing course.
It opens all the uncovered secrets behind Machine Learning .
With best mentors and enough practice i had gain thorough knowledge and interest toward Machine Learning.
創建者 Muhammad H T•
Amazing course by Carlos Guestrin and Emily Fox both have the deep knowledge of their domain and more over they also have the skills of how to teach. Love you both Carlos Guestrin (Sir) and Emily Fox (Mam)