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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:

26–50 из 492 отзывов о курсе Практическое компьютерное обучение

автор: Alfonso R R

Nov 13, 2018

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

автор: Mohammad A

Jan 17, 2019

Wonderful course and instructor, it was the best in the specialization courses so far.

One note is that for most of the methods the explanation was too much precise and short and needed to reinforce it by extra material

автор: João F

Feb 14, 2019

Very good course. Clear explanations and examples give a good overview of the foundations of Machine Learning. After this course the student can build Machine Learning models.

автор: Dewald O

Feb 24, 2019

great course in R, really covers the fundamentals.

автор: Dave H

Feb 23, 2019

This was one of my favorite courses in the specialization as it was so easy to understand and follow. I think the basis I was given has really made me want to delve deeper into the topic and apply it to my career. Thank you!!!

автор: Mahmoud E

Feb 25, 2019

Very informative

автор: Anuj P

Feb 21, 2019

This is the most interesting of all the courses in this specialization. Sometimes the content covered can be overwhelming. But the end result in the form of project assignment is worth all the efforts.

автор: Yap Y A

Mar 11, 2019

Instructor was clear in his explanation. Would prefer to have more hands on exercise for practice

автор: Premkumar S

Mar 16, 2019

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

автор: Bruno R d C S

Mar 07, 2019

a quick introduction to the basic algorithms for machine learning in R

автор: David R

Jan 14, 2019

Great introduction to Machine Learning in R. Concepts explained very clearly and project gave opportunity to test out the concepts introduced to real data.

автор: Sanjeev K

Dec 16, 2018

Introductory course but it explains the basics easily

автор: Javier E S

Dec 02, 2018

Excellent.

автор: Fábio A C

Dec 25, 2016

The best

автор: GERALDO A

May 31, 2018

This is a excelente course like all the others.

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: 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: E. M

May 31, 2016

Fantastic class!

автор: Johan J

Nov 21, 2016

Awesome

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