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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
3,199 classificações
615 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

16 de jan de 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

13 de ago de 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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176 — 200 de 606 Avaliações para o Aprendizagem Automática na Prática

por Ajendra S

7 de nov de 2017

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

por Lei M

23 de ago de 2017

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

por Johan V M

21 de ago de 2020

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

por Forest W

9 de jan de 2018

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

por Ismail M

28 de jan de 2022

Amazing and breif work for a wide discipline ,Thank you for this course :).

por Chris H

23 de mai de 2016

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

por Marcus S

11 de fev de 2016

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

por Gayathri N

21 de set de 2020

Wonderful foundational course to understand the basics of machine learning.

por Sarah S

31 de mai de 2017

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

por SATHYANARAYANAN S

10 de set de 2017

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

por Michael L P

17 de jan de 2022

Excellent course - I have learned a great deal and really appreciate it!

por Sandro G

13 de out de 2017

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

por Camilo Y

14 de mar de 2017

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

por Massimiliano

17 de fev de 2017

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

por Diana S

11 de fev de 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

por Mehrdad P

20 de nov de 2019

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

por Filippo C

3 de mai de 2020

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

por Robert J C

27 de out de 2019

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

por Bruno R S

7 de mar de 2019

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

por Mehdi Z

25 de mar de 2016

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

por Ray W

21 de mar de 2016

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

por Bojan B

14 de out de 2018

Great course with great materials. Easy to understand and to learn.

por Sebastian F

24 de jan de 2016

Great course. Really educational and informative. Well taught too!

por Roberto D

20 de jun de 2017

Methods to be applied in preparation for creating a data product.

por Reza M

9 de jul de 2020

Excellent engaging course. At times difficult but very enjoyable