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Вернуться к Практическое компьютерное обучение

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

4.5
stars
Оценки: 2,747
Рецензии: 514

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

AD

Mar 01, 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.

AS

Aug 31, 2017

Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.

Фильтр по:

151–175 из 505 отзывов о курсе Практическое компьютерное обучение

автор: Mehrdad P

Nov 20, 2019

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

автор: Robert J C

Oct 28, 2019

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

автор: Bruno R d C S

Mar 07, 2019

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

автор: Mehdi Z

Mar 25, 2016

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

автор: Xray W

Mar 21, 2016

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

автор: Bojan B

Oct 14, 2018

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

автор: Sebastian F

Jan 24, 2016

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

автор: Roberto D

Jun 20, 2017

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

автор: Alejandro B G

Feb 09, 2016

A great Course, my favorite into the Data Science Specialization

автор: Gary R S

Dec 31, 2017

Excellent intro to machine learning with interesting projects.

автор: PRAKASH J M

Dec 25, 2017

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

автор: Aleksey K

Feb 10, 2016

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

автор: Vitalii S

Aug 01, 2017

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

автор: Rui R

Feb 06, 2017

One of the best courses in the Data Science Specialization,

автор: Jose R C

Aug 16, 2016

The machine learning course every Data Scientist should do.

автор: Erich F G

Apr 14, 2018

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

автор: Sebastian R

Sep 19, 2017

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

автор: Carlos M B B

Aug 10, 2017

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

автор: Anitha C

Jul 27, 2017

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

автор: Ozanb

Apr 21, 2017

Best course of the programme. Simple and explained well.

автор: Harland H

Oct 01, 2018

Very informative and the project was fun to accomplish.

автор: Ilia

Apr 27, 2016

One of the most valuable courses in the specialization!

автор: Klever M

Jul 29, 2019

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

автор: Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

автор: Julien N

Dec 18, 2018

nice pace, good overview to start with modelling in R