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Вернуться к Практическое компьютерное обучение

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

4.5
Оценки: 2,675
Рецензии: 501

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:

51–75 из 492 отзывов о курсе Практическое компьютерное обучение

автор: Brian G

Aug 17, 2017

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

автор: Gustavo E L

Mar 14, 2016

With this course, you can develop an important skill for the final steps of a data science project.

автор: Sebastian R

Sep 19, 2017

Great intro machine learning, you will know how to use it

автор: Paula L

Dec 02, 2016

good course, but one who is serious about data science should view this course as a starting point since machine learning is a semester long course so I'd recommend follow up with machine learning course taught from Andrew Ng out of Stanford

автор: George O O

May 08, 2018

Great!

автор: Jose A R N

Dec 08, 2016

My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Data Science and better understand the technology and your practical applications.

The course was excellent and the classes well taught by the Teachers.

Congratulations to Coursera team and Teachers.

автор: Peter D

Oct 07, 2016

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

автор: Larry G

Feb 07, 2017

Nice

автор: Moises E

Jan 16, 2017

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

автор: Jared P

Jun 25, 2017

Awesome course. Would recommend it, but only to those who have a bit of stats and R background. This definitely helped me get a solid enough understanding of using R for machine learning.

автор: Rachit K

Sep 16, 2017

The course gets you deep into ML very quickly ...but I think that's enough to get someone introduced to machine learning. The recommended book a great accompaniment

автор: Carlos M B B

Aug 10, 2017

This was one of the better courses in the series, thanks.

автор: Fábio A C

Dec 25, 2016

The best

автор: Krishna P

Jun 20, 2016

Very good content for beginner, lot of learning in machine learning special caret package in R.

автор: HARSH L

Jul 11, 2016

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

автор: Samuel H

Feb 18, 2016

This was a very good introduction to machine learning and how to use machine learning packages in R. It would have been better if the class had been longer than four weeks, but I learned a lot for the length of the course.

автор: Johan J

Nov 21, 2016

Awesome

автор: GERALDO A

May 31, 2018

This is a excelente course like all the others.

автор: E. M

May 31, 2016

Fantastic class!

автор: Kristin A

Jan 09, 2018

Good intro to a topic that has a lot of power and a rich body of knowledge behind it. You can only scratch the surface in a four-week course, but I have been exposed to quite a range of tools in Practical Machine Learning.

автор: Mehdi Z

Mar 25, 2016

Hands-on training, practical introduction to machine learning using R!

автор: Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

автор: Saul L

Feb 08, 2016

This is by far the most enlightening class in the whole specialization. I really got a good handle about how to build a predictive model and apply it to real datasets.

автор: Rodney A J

Jul 30, 2017

This was a great course.

автор: Francisco J D d S F G

Nov 27, 2016

The best course of the specialization along with the statistical inference one - the final assignment is very fun to do, pretty much like a Kaggle competition.