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

Very informative

It's hard as hell, and very good.

Very interesting course

One of the best courses in the Data Science Specialization,

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

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.

excellent!

great!!! In this lecture, I learn how to write R code to analyze data with Machine learning methods.

Good course to take !!

Great and Excellent thoughts and course material.

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.

Awesome Course !!

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.

Much Better than the previous courses ( Regression and Statistical Inference)

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.

Great course. Really educational and informative. Well taught too!

Wonderful!

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.

Awesome course. Super effective quizzes.

Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.

I enjoyed a lot this module, I'll use at my daily work some of the features I learned