Chevron Left
Retour à Apprentissage mechanique pratique

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

4.5
étoiles
2,793 évaluations
526 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

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.

Filtrer par :

126 - 150 sur 517 Avis pour Apprentissage mechanique pratique

par Raunak S

Nov 19, 2018

a very good course for those wanting to learn Machine Learning to implement in Data Science.

par Tristan F

Dec 25, 2019

Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.

par Oleksandr K

Jul 11, 2018

Great course! However, it would be good to learn about artificial neural networks as well.

par Jean N

Aug 24, 2017

Very nice Course. I am applying it right away for Predictions in the Telecoms environment.

par Rizwan M

Oct 13, 2019

great course. could have explained more techniques in caret package with coding examples

par Connor B

Sep 24, 2019

Really good exposure to machine learning and builds on the previous course in regression

par Alfonso R R

Nov 13, 2018

Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

par Brian G

Aug 17, 2017

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

par Konstantin

Mar 02, 2020

Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.

par Donson Y

Sep 04, 2017

This is a fantasy course to know that how to build your first machine learning model.

par Jorge M A A

Apr 13, 2016

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

par Premkumar S

Mar 16, 2019

Great course and farily challenging exercises! Thank You for putting this together!!

par Sai S S

Jul 17, 2017

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

par Mary

Aug 19, 2019

Very informational with good variety of code to take back and apply to projects.

par Nikhilesh J

Mar 02, 2018

Provides a quick and dirty look at Machine Learning. An easy way to get started.

par Jeffrey M H

Jun 10, 2019

So far, one of the most fulfilling courses in the Data Science specialization!

par Ajendra S

Nov 08, 2017

This a good course, giving you the inside of the data science problem solving.

par Lei M

Aug 23, 2017

This course is demanding, but I feel my own progress which is very fulfilling.

par Forest W

Jan 09, 2018

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

par Chris H

May 23, 2016

Great course. I really enjoyed working on the prediction project at the end.

par Marcus S

Feb 11, 2016

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

par Sarah S

May 31, 2017

I enjoyed detailed information and was very straight forward to understand.

par SATHYANARAYANAN S

Sep 11, 2017

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

par Sandro G

Oct 13, 2017

I have learnt a lot of thing and very happy to have followed this course

par Camilo Y

Mar 14, 2017

This course is a good introduction to machine learning algorithms with R