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

4.5
étoiles
2,883 évaluations
545 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.

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176 - 200 sur 536 Avis pour Apprentissage mechanique pratique

par Vitalii S

Aug 01, 2017

No swirl exercises, but last project totally worth my time.

par Rui R

Feb 06, 2017

One of the best courses in the Data Science Specialization,

par Jose R C

Aug 16, 2016

The machine learning course every Data Scientist should do.

par Harini A

Jun 08, 2020

Good course material and very practical oriented training

par Erich F G

Apr 14, 2018

Great class. Easy to follow and I learned a great deal.

par Sebastian R

Sep 19, 2017

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

par Carlos M B B

Aug 10, 2017

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

par Anitha C

Jul 27, 2017

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

par Ozanb

Apr 21, 2017

Best course of the programme. Simple and explained well.

par Harland H

Oct 01, 2018

Very informative and the project was fun to accomplish.

par Ilia

Apr 27, 2016

One of the most valuable courses in the specialization!

par Klever M

Jul 29, 2019

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

par Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

par Julien N

Dec 18, 2018

nice pace, good overview to start with modelling in R

par Sanjeev K

Dec 16, 2018

Introductory course but it explains the basics easily

par Aleksander Z

Dec 23, 2017

Good solid intro to the concepts of machine learning.

par Dimitrios G

Jul 07, 2017

Amazing course. Short videos packed with information!

par antonio q

Feb 27, 2018

it was great, simply though exhaustive, thanks a lot

par Monnappa

Nov 12, 2016

Good content as an introduction to Machine learning!

par Dewald O

Feb 24, 2019

great course in R, really covers the fundamentals.

par Yong-Meng G

Jun 20, 2017

Insightful and practical ! One of the best so far.

par Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

par Martin S

Feb 26, 2016

Very practical tools and also very encouraging!!

par Umair R

Aug 29, 2019

Brian Caffo's courses are, as always brilliant.

par GERALDO A

May 31, 2018

This is a excelente course like all the others.