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

4.5
étoiles
2,848 évaluations
539 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

JC

Jan 17, 2017

excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!

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.

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401 - 425 sur 530 Avis pour Apprentissage mechanique pratique

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 YUCHEN Z

May 01, 2020

not so pratical based on the current situation

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.

par PATEL N P

Oct 07, 2016

Nice Course for every New candidate

par Tiziano V

May 25, 2017

Interesting the final assignment.

par Rahul K

Mar 07, 2016

Really Well Structured Course!!

par Robert R

Jul 20, 2016

Just the right level of detail

par Erik K

Jul 08, 2019

Very good. Learned a lot

par Bassey O

May 03, 2016

Very informative course.

par Qian W

Sep 09, 2018

need eva on my project

par Javier R P

Oct 14, 2017

Love this class !

par Mehul P

Oct 03, 2017

Good ML overview.

par Lilia K R E

Mar 30, 2016

Muy buen curso :)

par Tiberiu D O

Sep 22, 2017

A good course!