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

4.5
étoiles
3,020 évaluations
573 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!

MR

Aug 14, 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

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401 - 425 sur 564 Avis pour Apprentissage mechanique pratique

par carlos j m r

Oct 05, 2017

I thought there were Swirl practice as other courses, however this course is very good.

par alon c

Mar 10, 2016

Great Course, will be nice to have more projects to see how it goes with different data

par anant s

Jun 30, 2017

good course for initial understanding of machine learning. SVM can also be included.

par Caio H

Aug 23, 2019

I learned a lot in this course, but I would recommend taking the courses in order.

par danxu

Mar 14, 2017

very good, but if it has swirl practice like th other courses it would be perfect.

par Christian W

Jan 31, 2017

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

par Yew C C

Feb 04, 2016

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

par vivek s

Jun 07, 2016

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

par Ramiro A

Aug 31, 2016

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

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 Shikhar K D

Oct 02, 2020

A very helpful course in this specialization series.

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.