Avis et commentaires pour l'étudiant pour Apprentissage mechanique pratique par Université Johns-Hopkins
À propos du cours
Meilleurs avis
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.
DH
Jun 18, 2018
Excellent introduction to basic ML techniques. A lot of material covered in a short period of time! I will definitely seek more advanced training out of the inspiration provided by this class.
226 - 250 sur 472 Examens pour Apprentissage mechanique pratique
par Robert H
•Apr 14, 2017
Really hands-on compact introduction!
par Nikhilesh J
•Mar 02, 2018
Provides a quick and dirty look at Machine Learning. An easy way to get started.
par Pam M
•May 19, 2016
Good material, presented in an organized fashion. I was able to apply what I learned immediately in a work setting.
par Giovanni M C V
•Feb 16, 2016
Excellent course with great didactic. Congratulations!
par Fernando M
•Sep 04, 2017
Great material. Really enjoyed it
par VENKATESH G S
•Oct 30, 2017
Good Approach......Valuable Course......!!!
par KOALA V
•Sep 25, 2017
Very interesting course
par Rui R
•Feb 06, 2017
One of the best courses in the Data Science Specialization,
par Emanuele M
•Nov 15, 2016
It very well done, good pace, and gives you real and concrete elements and examples to build a fully functional machine learning algorithm! i recommend this course
par Piotr K
•Oct 23, 2016
Nice introduction to machine learning in R. It is rather basic level, so it not for people that already know some basics related to regression and classification.
par Jeremy O
•Mar 10, 2017
excellent!
par chris
•Sep 20, 2017
piece de resistance
par Light0617
•Sep 04, 2016
great!!! In this lecture, I learn how to write R code to analyze data with Machine learning methods.
par Divvya.T
•Oct 29, 2017
Good course to take !!
par Shivanand R K
•Jun 21, 2016
Great and Excellent thoughts and course material.
par Do H L
•Mar 10, 2016
Useful course that is very practical in teaching tools in R that enable Machine learning. This course is, however, not suitable for people who want to learn theoretical machine learning. For that, learners will find Machine Learning by Andrew Ng a better alternative. However, if you're interested in machine learning packages in R and how to implement them, this course achieves that purpose for you.
par aditya n p
•May 12, 2016
Awesome Course !!
par Bojan B
•Oct 14, 2018
Great course with great materials. Easy to understand and to learn.
par Shashwat K
•Oct 15, 2018
insightfull
par Yusuf E
•Oct 17, 2018
It would have been nice if there was an introduction to deep learning. Also, linear methods are discussed at length again which is not really necessary. Otherwise, great course to get you started on machine learning applications in R.
par Ted
•Oct 18, 2018
Greate course! Lot of things learned!
par Pablo L
•Sep 20, 2018
Excelent course, it's a little bit short considering the breadth of the topic, but covers the most important algorithms and never abandon it's focus on methodology.
par Rebecca K
•Sep 24, 2018
This course gave a great basic understanding of some different machine learning algorithms and what they do. I now have a great practical understanding of how to implement them, and enough understanding of theory to know what I'm talking about and to be able to learn more about them in the future.
par Harland H
•Oct 01, 2018
Very informative and the project was fun to accomplish.
par Daniiar B
•Sep 29, 2018
It lucks theory, but that's why it's called practical. Very hands on teaching method. Was a little bit hard to follow.
