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Вернуться к Практическое компьютерное обучение

Отзывы учащихся о курсе Практическое компьютерное обучение от партнера Университет Джонса Хопкинса

4.5
звезд
Оценки: 3,088
Рецензии: 586

О курсе

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....

Лучшие рецензии

MR
13 авг. 2020 г.

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 февр. 2017 г.

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.

Фильтр по:

201–225 из 576 отзывов о курсе Практическое компьютерное обучение

автор: ozan b

21 апр. 2017 г.

Best course of the programme. Simple and explained well.

автор: Harland H

30 сент. 2018 г.

Very informative and the project was fun to accomplish.

автор: Ilia

26 апр. 2016 г.

One of the most valuable courses in the specialization!

автор: Klever M

29 июля 2019 г.

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

автор: Giovanni M C V

16 февр. 2016 г.

Excellent course with great didactic. Congratulations!

автор: Julien N

18 дек. 2018 г.

nice pace, good overview to start with modelling in R

автор: Sanjeev R

16 дек. 2018 г.

Introductory course but it explains the basics easily

автор: Alex Z

23 дек. 2017 г.

Good solid intro to the concepts of machine learning.

автор: Dimitrios G

7 июля 2017 г.

Amazing course. Short videos packed with information!

автор: antonio q

27 февр. 2018 г.

it was great, simply though exhaustive, thanks a lot

автор: Monnappa

12 нояб. 2016 г.

Good content as an introduction to Machine learning!

автор: Margaret O

17 сент. 2020 г.

It was challenging but awesome learning expereince

автор: Dewald O

24 февр. 2019 г.

great course in R, really covers the fundamentals.

автор: Yong-Meng G

19 июня 2017 г.

Insightful and practical ! One of the best so far.

автор: Shivanand R K

21 июня 2016 г.

Great and Excellent thoughts and course material.

автор: Martin S

26 февр. 2016 г.

Very practical tools and also very encouraging!!

автор: Umair R

29 авг. 2019 г.

Brian Caffo's courses are, as always brilliant.

автор: GERALDO A

31 мая 2018 г.

This is a excelente course like all the others.

автор: Prohnițchi V

31 дек. 2017 г.

Great course. A lot of extremely useful stuff.

автор: Hariharan D

20 сент. 2017 г.

Good course content and practical exercises !!

автор: Dora M

30 мар. 2019 г.

Really enjoyed this class and learned a lot!

автор: Bopeng Z

31 июля 2017 г.

Good practice. Very practical skills learned

автор: FARZAD R

16 июня 2017 г.

Really wonderful and very practical course .

автор: Filipe M d L

26 окт. 2020 г.

This is an excellent course, very exciting.

автор: César A

12 июля 2020 г.

Great course, a world of possibilities !!!!