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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: 2,902
Рецензии: 551

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.

DH

Jun 18, 2018

Excellent introduction to basic ML techniques. A lot of material covered in a short period of time! I will definitely seek more advanced training out of the inspiration provided by this class.

Фильтр по:

176–200 из 542 отзывов о курсе Практическое компьютерное обучение

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: Harini A

Jun 08, 2020

Good course material and very practical oriented training

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

автор: Sanjeev K

Dec 16, 2018

Introductory course but it explains the basics easily

автор: Aleksander Z

Dec 23, 2017

Good solid intro to the concepts of machine learning.

автор: Dimitrios G

Jul 07, 2017

Amazing course. Short videos packed with information!

автор: antonio q

Feb 27, 2018

it was great, simply though exhaustive, thanks a lot

автор: Monnappa

Nov 12, 2016

Good content as an introduction to Machine learning!

автор: Dewald O

Feb 24, 2019

great course in R, really covers the fundamentals.

автор: Yong-Meng G

Jun 20, 2017

Insightful and practical ! One of the best so far.

автор: Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

автор: Martin S

Feb 26, 2016

Very practical tools and also very encouraging!!

автор: Umair R

Aug 29, 2019

Brian Caffo's courses are, as always brilliant.