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

2,572 notes
481 avis

À propos du cours

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation....

Meilleurs avis


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.


Aug 31, 2017

Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.

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51 - 75 sur 473 Examens pour Apprentissage mechanique pratique

par Brian G

Aug 17, 2017

Great course. Mechanics of the final assignment are more difficult than the work itself.

par Gustavo E L

Mar 14, 2016

With this course, you can develop an important skill for the final steps of a data science project.

par Sebastian R

Sep 19, 2017

Great intro machine learning, you will know how to use it

par Paula L

Dec 02, 2016

good course, but one who is serious about data science should view this course as a starting point since machine learning is a semester long course so I'd recommend follow up with machine learning course taught from Andrew Ng out of Stanford

par George O O

May 08, 2018


par Jose A R N

Dec 08, 2016

My name is Jose Antonio. I am looking for a new Data Scientist career (

I did this course to get new knowledge about Data Science and better understand the technology and your practical applications.

The course was excellent and the classes well taught by the Teachers.

Congratulations to Coursera team and Teachers.

par Peter D

Oct 07, 2016

One of my favorites in the series! What I have been waiting for building up the prerequisite knowledge. Enjoy the instructor!

par Larry G

Feb 07, 2017


par Moises E

Jan 16, 2017

Very good overview and straightforward explanations of the different methodologies of ML. Nice tips on how to do ML with R.

par Jared P

Jun 25, 2017

Awesome course. Would recommend it, but only to those who have a bit of stats and R background. This definitely helped me get a solid enough understanding of using R for machine learning.

par Rachit K

Sep 16, 2017

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

par Carlos M B B

Aug 10, 2017

This was one of the better courses in the series, thanks.

par Fábio A C

Dec 25, 2016

The best

par Krishna P

Jun 20, 2016

Very good content for beginner, lot of learning in machine learning special caret package in R.


Jul 11, 2016

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

par Samuel H

Feb 18, 2016

This was a very good introduction to machine learning and how to use machine learning packages in R. It would have been better if the class had been longer than four weeks, but I learned a lot for the length of the course.

par Johan J

Nov 21, 2016



May 31, 2018

This is a excelente course like all the others.

par E. M

May 31, 2016

Fantastic class!

par Kristin A

Jan 09, 2018

Good intro to a topic that has a lot of power and a rich body of knowledge behind it. You can only scratch the surface in a four-week course, but I have been exposed to quite a range of tools in Practical Machine Learning.

par Mehdi Z

Mar 25, 2016

Hands-on training, practical introduction to machine learning using R!

par Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

par Saul L

Feb 08, 2016

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.

par Rodney A J

Jul 30, 2017

This was a great course.

par Francisco J D d S F G

Nov 27, 2016

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.