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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

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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201 — 225 de 607 Avaliações para o Aprendizagem Automática na Prática

por Reza M

9 de jul de 2020

Excellent engaging course. At times difficult but very enjoyable

por Alejandro B G

9 de fev de 2016

A great Course, my favorite into the Data Science Specialization

por Gary R S

31 de dez de 2017

Excellent intro to machine learning with interesting projects.

por PRAKASH J M

25 de dez de 2017

Pushed me to learn and experiment and make mistakes. Thank you

por Aleksey K

9 de fev de 2016

Made many things clear. Perhaps, the best class in the series.

por Anil P

14 de mai de 2022

nice course, it enhance the knowledge on machine learning ...

por Anna O

4 de nov de 2020

a simple way of real practice of machine learning algorithms.

por Vitalii S

1 de ago de 2017

No swirl exercises, but last project totally worth my time.

por Rui R

5 de fev de 2017

One of the best courses in the Data Science Specialization,

por Jose R C

16 de ago de 2016

The machine learning course every Data Scientist should do.

por Harini A

8 de jun de 2020

Good course material and very practical oriented training

por Erich F G

14 de abr de 2018

Great class. Easy to follow and I learned a great deal.

por Sebastian R

19 de set de 2017

Great intro machine learning, you will know how to use it

por Carlos B

10 de ago de 2017

This was one of the better courses in the series, thanks.

por Anitha C

27 de jul de 2017

I enjoyed working on this course. There is a lot good and

por ozan b

21 de abr de 2017

Best course of the programme. Simple and explained well.

por Harland H

30 de set de 2018

Very informative and the project was fun to accomplish.

por Ilia S

26 de abr de 2016

One of the most valuable courses in the specialization!

por Klever M

29 de jul de 2019

It was a great overview of the fascinating word of ML.

por Giovanni M C V

16 de fev de 2016

Excellent course with great didactic. Congratulations!

por Julien N

18 de dez de 2018

nice pace, good overview to start with modelling in R

por Sanjeev K

16 de dez de 2018

Introductory course but it explains the basics easily

por Hawk G

23 de dez de 2017

Good solid intro to the concepts of machine learning.

por Dimitrios G

7 de jul de 2017

Amazing course. Short videos packed with information!

por antonio q

27 de fev de 2018

it was great, simply though exhaustive, thanks a lot