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

3,119 évaluations
591 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

13 août 2020

recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course

28 févr. 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.

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426 - 450 sur 581 Avis pour Apprentissage mechanique pratique

par Christian W

31 janv. 2017

First 3 weeks are manageable and the final project is great! I had a lot of fun :)

par Yew C C

4 févr. 2016

Wish to have more systematic structure, detail information and hands-on exercises.

par vivek s

7 juin 2016

introduces lot of machine learning techniques which are used by practitioners !

par Ramiro A

31 août 2016

Nice course, Gives a god insight on what can me done with R and Predictions

par Daniel U

17 févr. 2016

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

par Matthew L

6 janv. 2016

Really good overview of machine learning techniques and model evaluation.

par Bhawani P

6 janv. 2017

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

par S M H R

10 févr. 2016

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

par Saurabh K

9 mars 2017

Very useful course to develop level knowledge in machine learning.

par Johnny C

23 oct. 2018

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

par Karthik R

7 août 2017

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

par Coral P

18 août 2017

The project is good in letting us practise what we learnt

par Trung N T

19 avr. 2018

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

par Shobhit K T

18 déc. 2017

Great course with practical insights on machine learning

par Minki J

28 déc. 2017

good to know many concepts of machine learning model.

par Shikhar K D

1 oct. 2020

A very helpful course in this specialization series.

par Diego T B

7 nov. 2018

Very useful. The models were very easy to understand

par Grigory S

28 août 2018

A bit short on practical aspects of different models

par Alfredo M

22 août 2016

Excelente curso. Ótimo conhecimento dos instrutores.

par Carlos R

27 mai 2018

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

par Steve d P

20 mars 2016

Nice, other courses will go more in depth though.

par Stephan H

12 août 2017

Very challenging course. I learned a lot. Tanks.


1 mai 2020

not so pratical based on the current situation

par Manuel C

26 déc. 2017

I feel I could have master the subjects better

par Rui W

27 août 2017

know some packages of machine learning using R