Avis et commentaires pour d'étudiants pour Apprentissage mechanique pratique par Université Johns-Hopkins

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.

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!

This is by far the most enlightening class in the whole specialization. I really got a good handle about how to build a predictive model and apply it to real datasets.

This course was really informative and extremely efficient by letting you know just the few basics needed to build some quite advanced models such as random forest..

This was my favorite class of the specialization. It was taught very well, and I felt like everything I learned in the previous classes were finally coming together.

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.

The course gets you deep into ML very quickly ...but I think that's enough to get someone introduced to machine learning. The recommended book a great accompaniment

This is by far the best machine learning course I took. This course is more hands-on "Machine Learning" kind rather than providing just a bunch of videos to watch.

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.

A nice overview of the most popular Machine Learning algorithms. Also very thorough, given the limited amount of time. I recommend anyone interested to take it!

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.

Great introduction to Machine Learning in R. Concepts explained very clearly and project gave opportunity to test out the concepts introduced to real data.

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

Excellent course. I feel like i know so much already even though we scratched the tip of the iceberg. Will definitely enroll in more advanced courses.

Great course, thank you. I was able to use what I have learned from the previous 7 courses and see them on in action through this course. Thank you :)

The course gave enough of an introduction to allow me to pursue many of the topics on my own. The course does require a fair amount of outside study.

Very fine course in machine learning where the focus is more on the use of ML rather on the theory behind it i.e. the course title fits its contents.

The course is amazing. The use of training and testing to predict data analysis made me more fascinated and interested in Data Science. Very nice!

Very good explanation! Trying to do the examples help me understand more plus the explanation which is not on the slide helps a lot. Thank you

An absolute approach of learning machine learning in very unique practical manner. Fundamental at the same to very practical learning course.

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

High level and brief overview but found it informative introduction into machine learning with R. The final project is fun and interesting.

References were very usefull for doing deep analisys in the thems

Quices were challenge.I learn a lot solving them.

I mis the swirl sessions

Thank you coursera for helping to get the fundamentals of machine learning, now I am confident enough to switch my career in data science.