14 de jun. de 2020
A very deep and comprehensive course for learning some of the core fundamentals of Machine Learning. Can get a bit frustrating at times because of numerous assignments :P but a fun thing overall :)
15 de oct. de 2016
Hats off to the team who put the course together! Prof Guestrin is a great teacher. The course gave me in-depth knowledge regarding classification and the math and intuition behind it. It was fun!
por Tripat S•
24 de jun. de 2016
This is the best course ever that can happen in ML...I did not know anything, but after taking this specialization, my understanding of ML has dramatically improved
Would recommend without any reservation - Prof Gustrin and Prof Fox are the best!!!
por Bhavesh G•
5 de may. de 2020
During this course, I learned many new things like logistic regression, decision tree algorithm, boosting algorithm, etc. I would like to suggest this course to all those who want to learn about machine learning and make a career in data science.
por Prashant K•
16 de nov. de 2020
Amazingly structured course. When I started the course, I did not realise that there would be so much content like Boosting and Stochastic Gradient Descent. It is truly a fantastic course with hands on learning. Cheers to Prof Carlos and team
31 de mar. de 2016
I come to know how can i applym machine learning conceps i real world scenarios . The instructors are so nice and always explaining in simple methods. Nice teaching abilities.. Glad to guided under this kind of instructors. Nice experience.
por Marios A•
8 de mar. de 2016
The course is really well structured and gives a solid understanding in the latest approaches in Machine Learning. However I would also like to see in this course more sophisticated math, because it matters and I think there are important.
por Bert B•
20 de oct. de 2016
Very well done course.
Would be nice to have many more very short examples during the lectures that match the formulas. This would help me understand the formulas much better since I do not have a calculus or linear algebra background.
por akshay b•
23 de may. de 2017
Excellent and intuitive introduction to classification.Certainly a lighthouse in a rather overwhelming and chaotic learning scenario of machine learning we have now a days(Highly recommended for both mathematics and programming student)
por Leonardo D•
2 de dic. de 2018
This course covered very interesting aspects of real-world applications for machine learning. From my point of view, the theory was very clear an valuable, until that point that the programming assignments closed the cycle beautifully.
por Jafed E G•
6 de jul. de 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
por Manuel G•
1 de ene. de 2019
Really awesome course. Nice balance between practical uses, theory, and implementation projects. It's good they kept the "optional" videos for the more detailed discussion instead of just removing that material. Totally recommend it.
por Theodore G•
21 de oct. de 2016
An interesting series of Lectures in the important topic of Classification. The business case approach followed by the instructors provides great help to apply the required theoretical knowledge and further elaborate these methods.
por B M K•
16 de oct. de 2016
Challenging and Exciting Course. Lots of ML concepts (Decision Trees, AdaBoost, Ensembles, Stochastic gradient, loglikelyhood etc. ) are introduced and i believe this course is of extreme importance in laying the fundamentals of ML.
por Nitish V•
6 de jul. de 2017
The course is well designed for both beginners and experts . The concepts are well explained and the assignments are really challenging. Best thing is , it talks more from practical aspects . The optional sections are really good.
por Vladimir B•
2 de ene. de 2022
Another incredible course from these two professors. They are incredible at explaining complex concepts. The videos and slides are incredibly helpful. And the exercises are challenging. I just wish Pandas was used as default.
por Ahmed N A•
4 de may. de 2018
The best course I could find to get a strong hold of the basics of machine learning. Presented in very easy to follow steps with thorough coverage of all the concepts necessary to understand the big picture of each algorithm.
por David E•
21 de ago. de 2016
very useful course : covers a range of very practical and useful topics I had heard about but didn't fully understand until taking this course. Some highlights stochastic gradient, boosting, and precision-recall trade offs.
por KYRIAKOS M•
12 de may. de 2020
After watching Emily's Fox Regression wondered how much better could this professor be...But Mr Guestrin is truly great. Fantastic job, well explained difficult concepts. Probably the best classification course out there
por Shingala J J•
13 de jun. de 2020
very good course
very good and intelligent instructor
overall very good content and passion course i had learned a lot
very good and awesome efforts by instructor carlose guestin well done
very happy with this course :)
por Iñaki D R•
3 de ago. de 2020
Excelent course !! The perfect choice if you want to discover for the first time basic classification algorithms, get some practice and knowledge with them, and at the end dive into more complex classification analisys
por Wenxin X•
26 de mar. de 2016
This specialization overall is pretty good. Personally I feel like Classification talks more about concepts and important ideas and requires less on coding comparing to Regression. Learned a lot! Love Carlos and Emily!
por Punam P•
16 de abr. de 2020
Very nice course for beginners to enhance the knowledge.. Thanks to Resp. Sir for your clear view for each concept which helps me lot. Thanks to Team & university of Washington.. Really enjoy the study in each module.
por Vishwajeet U O•
1 de oct. de 2020
Carlos is just an amazing teacher. I love his style of teaching, and his case-study approach is simply fantastic. I also liked the little jokes he made to make the harder parts of the course a bit more bearable. :)
por Maria C•
7 de mar. de 2016
One of the best online machine learning courses I have taken. Excellent explanation of many techniques on Classification. A great combination of theory and hands-on examples. Thank you, Professors Fox & Guestrin.
por Marcio R•
14 de jun. de 2016
Curso excelente, desde o material, as atividades práticas e aulas. O fórum de discussões é repleto de pessoas interessadas em ajudar. Essa é a especialização a longa distância definitiva de Machine Learning.
por Sam P•
14 de nov. de 2016
Informative with useful assignments and optional lectures that provide a deeper mathematical understanding. Great for newbies as well as more seasoned computer scientists looking to expand into new material.