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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: 3,085
Рецензии: 585

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.

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101–125 из 576 отзывов о курсе Практическое компьютерное обучение

автор: Nathan M

11 июня 2016 г.

Extremely useful class! Jeff also has many excellent suggestions for resources that will teach you even more about machine learning.

автор: Diandian Y

28 нояб. 2019 г.

a broad coverage of content and very intuitive explanation for different algorithm. Good start point to learn machine learning.

автор: Avizit C A

30 янв. 2019 г.

A very good course giving brief descriptions and applications of some of the used statistical and machine learning algorithms.

автор: Dan K H

27 мар. 2017 г.

Yet again an excellent course by Jeff, Roger and Brian. Thank you very much for a well layout course and some good excersizes.

автор: Peter D

7 окт. 2016 г.

One of my favorites in the series! What I have been waiting for building up the prerequisite knowledge. Enjoy the instructor!

автор: andy p

9 авг. 2016 г.

Great topic with a great instructor. Only wish the program was a little longer to spend some more time on some of the models.

автор: Prakhar P

6 июня 2018 г.

This course introduces to the machine learning package caret. A solid launch pad into the exciting world of data analytics.

автор: Moisés E A

16 янв. 2017 г.

Very good overview and straightforward explanations of the different methodologies of ML. Nice tips on how to do ML with R.

автор: Daniiar B

29 сент. 2018 г.

It lucks theory, but that's why it's called practical. Very hands on teaching method. Was a little bit hard to follow.

автор: Sabitabrata M

10 июня 2018 г.

Good course. Good overview on Machine Learning. But to understand the concepts I had to consult external resources.

автор: Robert K

26 сент. 2017 г.

A great introduction to machine learning and it does a good job building on the material from the previous classes.

автор: Pam M

19 мая 2016 г.

Good material, presented in an organized fashion. I was able to apply what I learned immediately in a work setting.

автор: Rahimullah S

28 окт. 2018 г.

thank you, this class is very practical and informative. The projects are a little complicated but very practical.

автор: BOUZENNOUNE Z E

18 дек. 2019 г.

A Great course that should be taken along other books, tutorials, and papers, in order to get the most out of it.

автор: Matthew S

8 мая 2019 г.

Good introduction to machine learning. Provides pretty comprehensive coverage of major algorithms and approaches.

автор: Samir G

8 янв. 2017 г.

Excellent course, very practical !

I am very curious about the maths so I will add some specialized certifications

автор: Jay S

27 авг. 2016 г.

Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.

автор: Billy J

13 апр. 2016 г.

Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.

автор: MUZAFFAR B H -

15 окт. 2017 г.

Essential starter for budding data scientist. Learned the basics and at least have the idea on how to conduct.

автор: Douglas M

1 февр. 2016 г.

Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!

автор: benjamin s

9 июля 2018 г.

Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content

автор: Philippine R

22 мая 2017 г.

I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!

автор: asma m

2 окт. 2018 г.

The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .

автор: Michael H

21 нояб. 2020 г.

Excellent breadth; only major issues have to do with Github challenges related to rendering HTML properly.

автор: Mehtab

24 авг. 2020 г.

this course is just awsome, with some basic knowledge of data manipulation anyone would enjoy this course.