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

2,769 évaluations
519 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.


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.

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376 - 400 sur 510 Avis pour Apprentissage mechanique pratique

par Daniel U

Feb 17, 2016

Fast paced and little focused on the algorithms but quite useful overall.

par Matthew L

Jan 06, 2016

Really good overview of machine learning techniques and model evaluation.

par bhawani p

Jan 07, 2017

briefly summarised the machine learning algorithms. Good place to start!

par S M H R

Feb 10, 2016

A good course where you can learn how ML algorithms work practically.

par Saurabh K

Mar 09, 2017

Very useful course to develop level knowledge in machine learning.

par Johnny C

Oct 23, 2018

It was in general nice course. However, quizzes need improvement.

par Karthik R

Aug 07, 2017

Bit tough, but I will have to say, good introductory course.

par Coral P

Aug 19, 2017

The project is good in letting us practise what we learnt

par Nguyen T T

Apr 20, 2018

Thank you! My teacher. The course very good. Many thanks

par Shobhit K T

Dec 18, 2017

Great course with practical insights on machine learning

par Minki J

Dec 29, 2017

good to know many concepts of machine learning model.

par Diego T B

Nov 07, 2018

Very useful. The models were very easy to understand

par Grigory S

Aug 28, 2018

A bit short on practical aspects of different models

par Alfredo M

Aug 22, 2016

Excelente curso. Ótimo conhecimento dos instrutores.

par Carlos R

May 27, 2018

Great Course! I have learned a lot of new things.

par Steve d P

Mar 20, 2016

Nice, other courses will go more in depth though.

par Stephan H

Aug 12, 2017

Very challenging course. I learned a lot. Tanks.

par Manuel C

Dec 26, 2017

I feel I could have master the subjects better

par Rui W

Aug 27, 2017

know some packages of machine learning using R

par Alia E

Jul 13, 2018

Really could have used a few more examples.

par Sakib S

Mar 15, 2019

Include more swirl practice problems.

par Nilrey J D C

Dec 01, 2017

Good introduction to machine learning

par Vincent G

Oct 22, 2017

appropriately challenging material.


Oct 07, 2016

Nice Course for every New candidate

par Tiziano V

May 25, 2017

Interesting the final assignment.