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Вернуться к Практическое компьютерное обучение

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

Оценки: 3,106
Рецензии: 588

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

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

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:

151–175 из 578 отзывов о курсе Практическое компьютерное обучение

автор: Connor B

24 сент. 2019 г.

Really good exposure to machine learning and builds on the previous course in regression

автор: Alfonso R R

13 нояб. 2018 г.

Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

автор: Brian G

17 авг. 2017 г.

Great course. Mechanics of the final assignment are more difficult than the work itself.

автор: Paresh P

8 дек. 2020 г.

Explained practical machine learning well, concepts like model stacking really helped!

автор: Sean D

10 июня 2020 г.

Really liked Dr. Leek's talks, and the subject matter was interesting and kind of fun.

автор: Konstantin

2 мар. 2020 г.

Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.

автор: Donson Y

4 сент. 2017 г.

This is a fantasy course to know that how to build your first machine learning model.

автор: Jorge M A A

13 апр. 2016 г.

I enjoyed a lot this module, I'll use at my daily work some of the features I learned

автор: Premkumar S

16 мар. 2019 г.

Great course and farily challenging exercises! Thank You for putting this together!!

автор: Sai S S

17 июля 2017 г.

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

автор: Thet P S A

21 авг. 2020 г.

It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.

автор: Mary

19 авг. 2019 г.

Very informational with good variety of code to take back and apply to projects.

автор: Nikhilesh J

2 мар. 2018 г.

Provides a quick and dirty look at Machine Learning. An easy way to get started.

автор: Jeffrey M H

10 июня 2019 г.

So far, one of the most fulfilling courses in the Data Science specialization!

автор: Ajendra S

7 нояб. 2017 г.

This a good course, giving you the inside of the data science problem solving.

автор: Lei M

23 авг. 2017 г.

This course is demanding, but I feel my own progress which is very fulfilling.

автор: Johan V M

21 авг. 2020 г.

I loved this course. I will absolutely take more courses on Machine Learning.

автор: Forest W

9 янв. 2018 г.

Much Better than the previous courses ( Regression and Statistical Inference)

автор: Chris H

23 мая 2016 г.

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

автор: Marcus S

11 февр. 2016 г.

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

автор: Gayathri N

21 сент. 2020 г.

Wonderful foundational course to understand the basics of machine learning.

автор: Sarah S

31 мая 2017 г.

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


10 сент. 2017 г.

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

автор: Sandro G

13 окт. 2017 г.

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

автор: Camilo Y

14 мар. 2017 г.

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