Avis et commentaires pour l'étudiant pour Apprentissage mechanique pratique par Université Johns-Hopkins

The best course of the specialization along with the statistical inference one - the final assignment is very fun to do, pretty much like a Kaggle competition.

loved it - fascinating subject and more detail than you could possibly want from the course instructors. Friendly community in the forum too.

johns hopkins' courses very helped me

This is a very useful course in Machine Learning that teaches us how to use the R based packages such as CARET for applying machine learning techniques. The course project helps understand how these techniques are applied in real world applications and develop useful insights.

I want to learn ML in R so I go straight to this course without taking any other course in this specialization, and it doesn't disappoint me. Thanks for a great course!

Great primer for machine learning with ample additional resources for those who are interested. I feel this course gave me a solid basis to delve deeper into the topic.

Pushed me to learn and experiment and make mistakes. Thank you

The course gives a clear explanation of why machine learning, with a goal of prediction, is different from regression. The use of the caret package in R is emphasized. Caret provides a uniform interface to many different machine learning algorithms, leaving no excuse for practitioners not to test a variety of approaches to confirm the robustness of their conclusions.

A great introduction to machine learning and it does a good job building on the material from the previous classes.

great intro to machine learning!

Tough but very good course

Extremely useful.

Nice course.

I like the organisation of the course. The first video is so informative yet so simple. Great resources have been listed in it and so subtly. Also I saw the organization of folders and lecture notes and everything in Github repo for this course. It s awesome. I keep stuff like that.. well numbered and everything. I really appreciate it as it makes life of a student lot easier. Thanks.

Very good for anyone wanting to get into the field of Data Science using R

Great introduction to the subject with good classification examples using R.

In my opinion, the best course of the entire Data Science Specialization

Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content

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!

It was like opening up a door to a whole new world. I have discovered new tools that I will thoroughly enjoy to use for the exploration of data and for predictions. Thanks Team Coursera !

Excellent intro to machine learning with interesting projects.

Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.

Best course i have ever taken on Machine Learning! Excellent presentation and excellent reference sources. Machine Learning is not that hard as I thought it would be..please make more practical courses like this one.

Some of the terms used here vary from the terms used in the industry. For example recall, precision etc. Overall this is a very good course with provides basics of machine learning.

Great topic with a great instructor. Only wish the program was a little longer to spend some more time on some of the models.