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

3,200 évaluations

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


16 janv. 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!


13 août 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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176 - 200 sur 607 Avis pour Apprentissage mechanique pratique

par Jeffrey M H

10 juin 2019

So far, one of the most fulfilling courses in the Data Science specialization!

par Ajendra S

7 nov. 2017

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

par Lei M

23 août 2017

This course is demanding, but I feel my own progress which is very fulfilling.

par Johan V M

21 août 2020

I loved this course. I will absolutely take more courses on Machine Learning.

par Forest W

9 janv. 2018

Much Better than the previous courses ( Regression and Statistical Inference)

par Ismail M

28 janv. 2022

Amazing and breif work for a wide discipline ,Thank you for this course :).

par Chris H

23 mai 2016

Great course. I really enjoyed working on the prediction project at the end.

par Marcus S

11 févr. 2016

Great introduction to the subject with good classification examples using R.

par Gayathri N

21 sept. 2020

Wonderful foundational course to understand the basics of machine learning.

par Sarah S

31 mai 2017

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


10 sept. 2017

Very good for anyone wanting to get into the field of Data Science using R

par Michael L P

17 janv. 2022

Excellent course - I have learned a great deal and really appreciate it!

par Sandro G

13 oct. 2017

I have learnt a lot of thing and very happy to have followed this course

par Camilo Y

14 mars 2017

This course is a good introduction to machine learning algorithms with R

par Massimiliano

17 févr. 2017

In my opinion, the best course of the entire Data Science Specialization

par Diana S

11 févr. 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

par Mehrdad P

20 nov. 2019

Overall was a great course for an overview of the techniques available.

par Filippo C

3 mai 2020

It was very interesting. It sparked the interest to deepen this topic!

par Robert J C

27 oct. 2019

It gets harder but fun...R, as well Python and Matlab, can do AI well.

par Bruno R S

7 mars 2019

a quick introduction to the basic algorithms for machine learning in R

par Mehdi Z

25 mars 2016

Hands-on training, practical introduction to machine learning using R!

par Ray W

21 mars 2016

Principle and practices. Good coverage on topics to get you started!

par Bojan B

14 oct. 2018

Great course with great materials. Easy to understand and to learn.

par Sebastian F

24 janv. 2016

Great course. Really educational and informative. Well taught too!

par Roberto D

20 juin 2017

Methods to be applied in preparation for creating a data product.