Chevron Left
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:

226–250 из 576 отзывов о курсе Практическое компьютерное обучение

автор: VENKATESH G S

•
30 окт. 2017 г.

Good Approach......Valuable Course......!!!

автор: Chinmoy D

•
10 сент. 2017 г.

very nice course, and quite informative too

автор: Amanyiraho R

•
28 янв. 2020 г.

The real understanding of Machine learning

автор: Amy B P

•
21 мар. 2020 г.

Gained a lot from this course. Thank you!

автор: leihong w

•
13 дек. 2017 г.

Very practical course on Machine Learning

автор: Atul K S

•
11 нояб. 2017 г.

very good from knowledge point of view .

автор: Tinguaro B

•
15 окт. 2017 г.

Good course about Machine Learning in R.

автор: Arunkumar M R

•
30 сент. 2017 г.

Awesome course. Super effective quizzes.

автор: Felix A

•
20 сент. 2016 г.

Unexpectedly challenging and insightful.

автор: Sindre F

•
1 авг. 2016 г.

A good introduction to machine learning.

автор: YANAN D

•
27 мая 2019 г.

elementary course and not too much work

автор: BHAVINKUMAR A P

•
13 июня 2018 г.

excellent platform for online course ..

автор: Mohamed A E M

•
8 февр. 2018 г.

Grat course =) im really happy about it

автор: Naman K

•
13 нояб. 2018 г.

please remove the checking by students

автор: Chris R

•
15 нояб. 2019 г.

Excellent course for the basics of ML

автор: Ted

•
18 окт. 2018 г.

Greate course! Lot of things learned!

автор: Robert H

•
14 апр. 2017 г.

Really hands-on compact introduction!

автор: Albert C G

•
4 сент. 2016 г.

Fun course, also practical and useful

автор: hyunwoo j

•
10 апр. 2016 г.

johns hopkins' courses very helped me

автор: Khalid S A

•
18 авг. 2019 г.

excellent course and very beneficial

автор: Jair G

•
20 янв. 2017 г.

Top 3 course of this specialization.

автор: Antonio M P

•
6 мар. 2018 г.

This is great though it is too fast

автор: Abdullah A

•
3 сент. 2017 г.

This is my favorite course so far.

автор: Sandeep B

•
14 янв. 2021 г.

Good course for Practical Aspects

автор: Fernando M

•
4 сент. 2017 г.

Great material. Really enjoyed it

Coursera Footer

Лучшие онлайн-курсы

Лучшие онлайн-специализации

Сертификаты онлайн

Программы получения онлайн-дипломов

Coursera

Сообщество

Еще

Учитесь, где угодно
Загрузить из App StoreЗагрузить в Google Play