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

4.5
étoiles
2,755 évaluations
514 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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101 - 125 sur 505 Avis pour Apprentissage mechanique pratique

par Samir A G

Jan 08, 2017

Excellent course, very practical !

I am very curious about the maths so I will add some specialized certifications

par Jay S

Aug 27, 2016

Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.

par Billy J

Apr 13, 2016

Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.

par Muzaffar H

Oct 15, 2017

Essential starter for budding data scientist. Learned the basics and at least have the idea on how to conduct.

par Douglas M

Feb 01, 2016

Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!

par benjamin s

Jul 09, 2018

Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content

par Philippine R

May 22, 2017

I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!

par asma m

Oct 02, 2018

The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .

par Akash P

May 11, 2018

Great content,clarity and informative.Assignment were perfectly framed to revise all the studied concepts.

par HARSH L

Jul 11, 2016

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

par Andrew

Jul 24, 2019

Great intro to machine learning. Covers the basics to allow you to being using ML concepts on your own.

par Julio G C

Feb 10, 2018

It is exactly what you need to begin in datascience.

Very good client's service if you've some problem.

par Charbel L

Sep 07, 2019

Excellent course. Shows how simple it is to start running models with machine learning...! Well done

par Light0617

Sep 04, 2016

great!!! In this lecture, I learn how to write R code to analyze data with Machine learning methods.

par Policarpio S

Mar 28, 2016

I really enjoyed this course. The material was concise and allows me to get up and running with ML.

par Gustavo E L

Mar 14, 2016

With this course, you can develop an important skill for the final steps of a data science project.

par Yadder A G

Oct 31, 2019

It's the best course I've taken. It has all the basics about machine learning algorithms and more.

par Yap Y A

Mar 11, 2019

Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice

par Weiqun T

Sep 23, 2019

This is a very good basic course for machine learning. I got the basic ideas and skills for it.

par Krishna P

Jun 20, 2016

Very good content for beginner, lot of learning in machine learning special caret package in R.

par Gustavo C G

Aug 07, 2019

Excellent introduction to machine learning. Great examples and detailed explanations, as usual

par Theodoros M

Jul 10, 2018

Practical ML is a great course, that provides training in the practical aspects of the topic.

par Wesley E

Feb 15, 2016

Great introduction with a broad set of tools and plenty of resources for more in depth study.

par André C L

Dec 13, 2018

very good practical experience using machine learning models, especially regarding PCA usage

par Raunak S

Nov 19, 2018

a very good course for those wanting to learn Machine Learning to implement in Data Science.