Chevron Left
Вернуться к Практическое компьютерное обучение

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

4.5
звезд
Оценки: 2,842
Рецензии: 539

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

JC

Jan 17, 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!

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.

Фильтр по:

151–175 из 530 отзывов о курсе Практическое компьютерное обучение

автор: Chris H

May 23, 2016

Great course. I really enjoyed working on the prediction project at the end.

автор: Marcus S

Feb 11, 2016

Great introduction to the subject with good classification examples using R.

автор: Sarah S

May 31, 2017

I enjoyed detailed information and was very straight forward to understand.

автор: SATHYANARAYANAN S

Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

автор: Sandro G

Oct 13, 2017

I have learnt a lot of thing and very happy to have followed this course

автор: Camilo Y

Mar 14, 2017

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

автор: Massimiliano F

Feb 17, 2017

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

автор: Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

автор: Mehrdad P

Nov 20, 2019

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

автор: Filippo C

May 03, 2020

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

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: Ray 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.