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

4.5
2,679 notes
501 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

JC

Jan 17, 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!

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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26 - 50 sur 493 Examens pour Apprentissage mechanique pratique

par Mahmoud E

Feb 25, 2019

Very informative

par Dora M

Mar 30, 2019

Really enjoyed this class and learned a lot!

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 Bruno R d C S

Mar 07, 2019

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

par Premkumar S

Mar 16, 2019

Great course and farily challenging exercises! Thank You for putting this together!!

par Gaurav B

Dec 22, 2018

Loved the course

par Luis M M R

Dec 24, 2018

very good

par Yap Y A

Mar 11, 2019

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

par João F

Feb 14, 2019

Very good course. Clear explanations and examples give a good overview of the foundations of Machine Learning. After this course the student can build Machine Learning models.

par Keidzh S

Jul 15, 2018

Practical Machine learning helped me to achieve my personal goals. Algorithm of prediction became clear, that gives the understanding of main point of the data science.

par Theodoros M

Jul 10, 2018

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

par Oleksandr K

Jul 11, 2018

Great course! However, it would be good to learn about artificial neural networks as well.

par Pablo L

Sep 20, 2018

Excelent course, it's a little bit short considering the breadth of the topic, but covers the most important algorithms and never abandon it's focus on methodology.

par Rebecca K

Sep 24, 2018

This course gave a great basic understanding of some different machine learning algorithms and what they do. I now have a great practical understanding of how to implement them, and enough understanding of theory to know what I'm talking about and to be able to learn more about them in the future.

par Daniiar B

Sep 29, 2018

It lucks theory, but that's why it's called practical. Very hands on teaching method. Was a little bit hard to follow.

par Yusuf E

Oct 17, 2018

It would have been nice if there was an introduction to deep learning. Also, linear methods are discussed at length again which is not really necessary. Otherwise, great course to get you started on machine learning applications in R.

par Ted

Oct 18, 2018

Greate course! Lot of things learned!

par Kidpea L

Oct 04, 2018

tx

par Rahimullah S

Oct 28, 2018

thank you, this class is very practical and informative. The projects are a little complicated but very practical.

par Suresh R

Oct 31, 2018

Very good course

par Adam R

Nov 11, 2018

Best course in the data science series. It is practical, so if you are looking for something theoretical this will not be the course for you. Also good introduction the methods for model testing and validation.

par Naman K

Nov 13, 2018

please remove the checking by students

par German R M S

Nov 14, 2018

Este es un muy buen curso, aprendes lo básico para poder entrar en el mundo del machine learning y te da la oportunidad de desarrollar modelos realmente útiles.

Recomendado, definitivamente.

par Alfonso R R

Nov 13, 2018

Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

par Raunak S

Nov 19, 2018

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