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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
estrelas
2,984 classificações
569 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

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!

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

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151 — 175 de 560 Avaliações para o Aprendizagem Automática na Prática

por Premkumar S

Mar 16, 2019

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

por Sai S S

Jul 17, 2017

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

por Thet P S A

Aug 21, 2020

It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.

por Mary

Aug 19, 2019

Very informational with good variety of code to take back and apply to projects.

por Nikhilesh J

Mar 02, 2018

Provides a quick and dirty look at Machine Learning. An easy way to get started.

por Jeffrey M H

Jun 10, 2019

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

por Ajendra S

Nov 08, 2017

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

por Lei M

Aug 23, 2017

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

por Johan V M

Aug 21, 2020

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

por Forest W

Jan 09, 2018

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

por Chris H

May 23, 2016

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

por Marcus S

Feb 11, 2016

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

por Gayathri N

Sep 21, 2020

Wonderful foundational course to understand the basics of machine learning.

por Sarah S

May 31, 2017

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

por SATHYANARAYANAN S

Sep 11, 2017

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

por Sandro G

Oct 13, 2017

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

por Camilo Y

Mar 14, 2017

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

por Massimiliano F

Feb 17, 2017

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

por Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

por Mehrdad P

Nov 20, 2019

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

por Filippo C

May 03, 2020

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

por Robert J C

Oct 28, 2019

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

por Bruno R S

Mar 07, 2019

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

por Mehdi Z

Mar 25, 2016

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

por Ray W

Mar 21, 2016

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