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Voltar para Aprendizagem Automática na Prática

Comentários e feedback de alunos de Aprendizagem Automática na Prática da instituição Universidade Johns Hopkins

4.5
2,578 classificações
483 avaliações

Sobre o curso

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....

Melhores avaliações

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.

AS

Aug 31, 2017

Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.

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26 — 50 de {totalReviews} Avaliações para o Aprendizagem Automática na Prática

por Mahmoud E

Feb 25, 2019

Very informative

por Dora M

Mar 30, 2019

Really enjoyed this class and learned a lot!

por 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.

por Bruno R d C S

Mar 07, 2019

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

por Premkumar S

Mar 16, 2019

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

por Gaurav B

Dec 22, 2018

Loved the course

por Luis M M R

Dec 24, 2018

very good

por Yap Y A

Mar 11, 2019

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

por 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.

por 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.

por Theodoros M

Jul 10, 2018

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

por Oleksandr K

Jul 11, 2018

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

por 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.

por 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.

por 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.

por 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.

por Ted

Oct 18, 2018

Greate course! Lot of things learned!

por Kidpea L

Oct 04, 2018

tx

por Rahimullah S

Oct 28, 2018

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

por Suresh R

Oct 31, 2018

Very good course

por 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.

por Naman K

Nov 13, 2018

please remove the checking by students

por 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.

por Alfonso R R

Nov 13, 2018

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

por Raunak S

Nov 19, 2018

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