Avis et commentaires pour l'étudiant pour Apprentissage mechanique pratique par Université Johns-Hopkins
À propos du cours
Meilleurs avis
JC
Jan 17, 2017
excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!
AD
Mar 01, 2017
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
226 - 250 sur 497 Examens pour Apprentissage mechanique pratique
par Simeon E
•Aug 02, 2017
Great Course. No so easy, as I expected, but, definitely, it worth all the time I've spent on it. Be careful: it requires a lot of self-studying and don't forget to read the Course Forum.
par Fernando M
•Sep 04, 2017
Great material. Really enjoyed it
par VENKATESH G S
•Oct 30, 2017
Good Approach......Valuable Course......!!!
par Matthew W
•Mar 01, 2016
High level and brief overview but found it informative introduction into machine learning with R. The final project is fun and interesting.
par Rui R
•Feb 06, 2017
One of the best courses in the Data Science Specialization,
par Kevin W
•Feb 11, 2017
Great course
par Yi-Yang L
•May 19, 2017
Good
par antonio q
•Feb 27, 2018
it was great, simply though exhaustive, thanks a lot
par David Y
•Feb 09, 2016
Enjoyed without reservation
par FARZAD R
•Jun 16, 2017
Really wonderful and very practical course .
par Peter T
•Feb 29, 2016
Love it.
par Triston C
•May 27, 2017
This course really demystified machine learning, and provided practical steps and guidance on how to create predictive models. While I do wish there were more resources on how to tune models and investigate specific model parameters, I understand that there just wasn't enough time. I couldn't imagine a better course for a solid foundation in this skill.
par Vinicio D S
•May 22, 2018
You will learn how to use the caret package and learn how to implement ML algorithms. If you want the theory behind it, you need to go to other courses
par YOGESH C
•Jun 18, 2016
great course
par Rodrigo C
•Oct 14, 2017
Great course.
par Artem A
•Apr 14, 2016
Noiiice!
par Tasif A
•Jun 16, 2017
Great Course. Must do it.
par HIN-WENG W
•Feb 07, 2017
PML is a deep subject and this course is an excellent foundation for further studies. Prof Leek has taught brilliantly on the basic concepts of PML given the short time of 4 weeks. You need college level statistics to fully appreciate the theories of the PML's lectures.
par Philippine R
•May 22, 2017
I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!
par Mertz
•Mar 20, 2018
Real practical machine learning!
par Albert C G
•Sep 04, 2016
Fun course, also practical and useful
par yefu w
•May 30, 2017
Great Course!
par Sarah S
•May 31, 2017
I enjoyed detailed information and was very straight forward to understand.
par Rishabh J
•Aug 22, 2017
All the major machine learning algorithms and techniques are provided in a way that you can begin using them right away. The course project also provides an opportunity to apply the different techniques learnt in class to a rather messy dataset.
par Yong-Meng G
•Jun 20, 2017
Insightful and practical ! One of the best so far.
