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

4.5
étoiles
3,061 évaluations
580 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

MR
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

AD
28 févr. 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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176 - 200 sur 570 Avis pour Apprentissage mechanique pratique

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.

par Reza M

9 juil. 2020

Excellent engaging course. At times difficult but very enjoyable

par Alejandro B G

9 févr. 2016

A great Course, my favorite into the Data Science Specialization

par Gary R S

31 déc. 2017

Excellent intro to machine learning with interesting projects.

par PRAKASH J M

25 déc. 2017

Pushed me to learn and experiment and make mistakes. Thank you

par Aleksey K

9 févr. 2016

Made many things clear. Perhaps, the best class in the series.

par Anna O

4 nov. 2020

a simple way of real practice of machine learning algorithms.

par Vitalii S

1 août 2017

No swirl exercises, but last project totally worth my time.

par Rui R

5 févr. 2017

One of the best courses in the Data Science Specialization,

par Jose R C

16 août 2016

The machine learning course every Data Scientist should do.

par Harini A

8 juin 2020

Good course material and very practical oriented training

par Erich F G

14 avr. 2018

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

par Sebastian R

19 sept. 2017

Great intro machine learning, you will know how to use it

par Carlos M B B

10 août 2017

This was one of the better courses in the series, thanks.

par Anitha C

27 juil. 2017

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

par Ozan B

21 avr. 2017

Best course of the programme. Simple and explained well.

par Harland H

30 sept. 2018

Very informative and the project was fun to accomplish.