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Kursteilnehmer-Bewertung und -Feedback für Practical Machine Learning von Johns Hopkins University

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3,107 Bewertungen
589 Bewertungen

Über den Kurs

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....

Top-Bewertungen

MR
13. Aug. 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

AD
28. Feb. 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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176 - 200 von 579 Bewertungen für Practical Machine Learning

von Camilo Y

14. März 2017

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

von Massimiliano F

17. Feb. 2017

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

von Diana S

11. Feb. 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

von Mehrdad P

20. Nov. 2019

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

von Filippo C

3. Mai 2020

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

von Robert J C

27. Okt. 2019

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

von Bruno R S

7. März 2019

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

von Mehdi Z

25. März 2016

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

von Ray W

21. März 2016

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

von Bojan B

14. Okt. 2018

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

von Sebastian F

24. Jan. 2016

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

von Roberto D

20. Juni 2017

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

von Reza M

9. Juli 2020

Excellent engaging course. At times difficult but very enjoyable

von Alejandro B G

9. Feb. 2016

A great Course, my favorite into the Data Science Specialization

von Gary R S

31. Dez. 2017

Excellent intro to machine learning with interesting projects.

von PRAKASH J M

25. Dez. 2017

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

von Aleksey K

9. Feb. 2016

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

von Anna O

4. Nov. 2020

a simple way of real practice of machine learning algorithms.

von Vitalii S

1. Aug. 2017

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

von Rui R

5. Feb. 2017

One of the best courses in the Data Science Specialization,

von Jose R C

16. Aug. 2016

The machine learning course every Data Scientist should do.

von Harini A

8. Juni 2020

Good course material and very practical oriented training

von Erich F G

14. Apr. 2018

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

von Sebastian R

19. Sep. 2017

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

von Carlos B

10. Aug. 2017

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