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Avis et commentaires pour l'étudiant pour Apprentissage mechanique pratique par Université Johns-Hopkins

4.5
2,572 notes
481 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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201 - 225 sur 474 Examens pour Apprentissage mechanique pratique

par Sarah S

May 31, 2017

I enjoyed detailed information and was very straight forward to understand.

par Khairul I K

May 27, 2017

Good

par Tinguaro B

Oct 15, 2017

Good course about Machine Learning in R.

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 Luis A A C

Mar 27, 2018

Excellent course.

par Draidi F

Oct 22, 2017

intense one :-)

par Sai S S

Jul 17, 2017

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

par Lopamudra S

Feb 04, 2018

The practical machine learning course is a booster for the data science aspirant.The concept taught by the Prof Jeff Leek is easily understandable. Thank you so much Sir.

par Norberto O

Jul 09, 2018

I give 5 stars because at the end I was able to understand the different topics and obtained a deeper sense of what can be done with the tools provided, however I believe there should be one section to have a complete exercise in order to better understand how to organize a project and put together all the tools provided. Perhaps a general diagram for analysis may be good to have as well.

par Sinan G

May 29, 2017

Very fine course in machine learning where the focus is more on the use of ML rather on the theory behind it i.e. the course title fits its contents.

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 Raja J

Dec 26, 2017

Excellent course

par Caner A I

Apr 12, 2017

Jeff Leek is a great professor .The delivery of the course material is very clear and covers a lot of predictive methods by using mainly R's caret package. Recommended for sure.

par xuanru s

Jan 24, 2017

very clear explanation

par Reinhard S

May 19, 2017

ok

par Anitha C

Jul 27, 2017

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

par Carlos A C Z

Feb 12, 2018

Nice course.

par Jan K

Aug 02, 2017

A nice overview of the most popular Machine Learning algorithms. Also very thorough, given the limited amount of time. I recommend anyone interested to take it!

par Hariharan D

Sep 20, 2017

Good course content and practical exercises !!

par Atul K S

Nov 11, 2017

very good from knowledge point of view .

par Carlos P

Sep 14, 2017

Excellent course

par Tai C M

Sep 29, 2017

This is my favourite course in the data science. Prior to taking up this course, I have been using technical analysis to achieve my investment goal. I know how to design trading system to trade. Now with machine learning, I learned something new. System trading is reactive and machine learning is predictive. This subject is the reason why I sign up for data science.

par Shashikesh M

Aug 03, 2017

An absolute approach of learning machine learning in very unique practical manner. Fundamental at the same to very practical learning course.

par Ajendra S

Nov 08, 2017

This a good course, giving you the inside of the data science problem solving.

par Erich F G

Apr 14, 2018

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