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

4.5
étoiles
2,973 évaluations
566 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

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

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.

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76 - 100 sur 559 Avis pour Apprentissage mechanique pratique

par Hiran H

Jun 04, 2020

This is by far the best machine learning course I took. This course is more hands-on "Machine Learning" kind rather than providing just a bunch of videos to watch.

par Emanuele M

Nov 15, 2016

It very well done, good pace, and gives you real and concrete elements and examples to build a fully functional machine learning algorithm! i recommend this course

par Piotr K

Oct 23, 2016

Nice introduction to machine learning in R. It is rather basic level, so it not for people that already know some basics related to regression and classification.

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 Francisco J D d S F G

Nov 27, 2016

The best course of the specialization along with the statistical inference one - the final assignment is very fun to do, pretty much like a Kaggle competition.

par David R

Jan 14, 2019

Great introduction to Machine Learning in R. Concepts explained very clearly and project gave opportunity to test out the concepts introduced to real data.

par Vinicio D S

May 22, 2018

You will learn how to use the caret package and learn how to implement ML algorithms. If you want the theory behind it, you need to go to other courses

par Selim J R

Dec 15, 2016

Excellent course. I feel like i know so much already even though we scratched the tip of the iceberg. Will definitely enroll in more advanced courses.

par Pouria T

Jul 02, 2017

Great course, thank you. I was able to use what I have learned from the previous 7 courses and see them on in action through this course. Thank you :)

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 Deleted A

Dec 01, 2019

The course is amazing. The use of training and testing to predict data analysis made me more fascinated and interested in Data Science. Very nice!

par Jerome S P

Jun 18, 2019

Very good explanation! Trying to do the examples help me understand more plus the explanation which is not on the slide helps a lot. Thank you

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 Chris N

Jun 07, 2017

loved it - fascinating subject and more detail than you could possibly want from the course instructors. Friendly community in the forum too.

par Matthew W

Mar 01, 2016

High level and brief overview but found it informative introduction into machine learning with R. The final project is fun and interesting.

par Javier A D

May 27, 2018

References were very usefull for doing deep analisys in the thems

Quices were challenge.I learn a lot solving them.

I mis the swirl sessions

par Swaraj M

May 05, 2020

Thank you coursera for helping to get the fundamentals of machine learning, now I am confident enough to switch my career in data science.

par Laro N P

Jul 22, 2018

Good course, I miss more practice exercise because theory is always welcome but when we are capable to understand is doing real practice.

par Gustavo S

Apr 20, 2020

Very nice course, well-explained, sometimes a little bit fast if you dont have the luck of having previous knowledge.

100% recommendable

par Nathan M

Jun 11, 2016

Extremely useful class! Jeff also has many excellent suggestions for resources that will teach you even more about machine learning.

par Gianmarco P

Aug 31, 2020

Nice course with many practical exercises and useful information. Probably, they need to be updated to the latest software versions.

par Diandian Y

Nov 28, 2019

a broad coverage of content and very intuitive explanation for different algorithm. Good start point to learn machine learning.

par Avizit C A

Jan 31, 2019

A very good course giving brief descriptions and applications of some of the used statistical and machine learning algorithms.

par Dan K H

Mar 27, 2017

Yet again an excellent course by Jeff, Roger and Brian. Thank you very much for a well layout course and some good excersizes.

par Peter D

Oct 07, 2016

One of my favorites in the series! What I have been waiting for building up the prerequisite knowledge. Enjoy the instructor!