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

4.5
étoiles
3,107 évaluations
•
589 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

MR
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

AD
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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201 - 225 sur 579 Avis pour Apprentissage mechanique pratique

par Anitha C

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27 juil. 2017

I enjoyed working on this course. There is a lot good and

par ozan b

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21 avr. 2017

Best course of the programme. Simple and explained well.

par Harland H

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30 sept. 2018

Very informative and the project was fun to accomplish.

par Ilia

•
26 avr. 2016

One of the most valuable courses in the specialization!

par Klever M

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29 juil. 2019

It was a great overview of the fascinating word of ML.

par Giovanni M C V

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16 févr. 2016

Excellent course with great didactic. Congratulations!

par Julien N

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18 déc. 2018

nice pace, good overview to start with modelling in R

par Sanjeev R

•
16 déc. 2018

Introductory course but it explains the basics easily

par Alex Z

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23 déc. 2017

Good solid intro to the concepts of machine learning.

par Dimitrios G

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7 juil. 2017

Amazing course. Short videos packed with information!

par antonio q

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27 févr. 2018

it was great, simply though exhaustive, thanks a lot

par Monnappa

•
12 nov. 2016

Good content as an introduction to Machine learning!

par Margaret O

•
17 sept. 2020

It was challenging but awesome learning expereince

par Dewald O

•
24 févr. 2019

great course in R, really covers the fundamentals.

par Yong-Meng G

•
19 juin 2017

Insightful and practical ! One of the best so far.

par Shivanand R K

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21 juin 2016

Great and Excellent thoughts and course material.

par Martin S

•
26 févr. 2016

Very practical tools and also very encouraging!!

par Umair R

•
29 août 2019

Brian Caffo's courses are, as always brilliant.

par Amarante G

•
31 mai 2018

This is a excelente course like all the others.

par Prohnițchi V

•
31 déc. 2017

Great course. A lot of extremely useful stuff.

par Hariharan D

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20 sept. 2017

Good course content and practical exercises !!

par Dora M

•
30 mars 2019

Really enjoyed this class and learned a lot!

par Bopeng Z

•
31 juil. 2017

Good practice. Very practical skills learned

par FARZAD R

•
16 juin 2017

Really wonderful and very practical course .

par Filipe M d L

•
26 oct. 2020

This is an excellent course, very exciting.

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