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Вернуться к Практическое компьютерное обучение

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

4.5
Оценки: 2,710
Рецензии: 508

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:

176–200 из 499 отзывов о курсе Практическое компьютерное обучение

автор: Reinhard S

May 19, 2017

ok

автор: Carlos A C Z

Feb 12, 2018

Nice course.

автор: Jan K

Aug 02, 2017

A nice overview of the most popular Machine Learning algorithms. Also very thorough, given the limited amount of time. I recommend anyone interested to take it!

автор: Hariharan D

Sep 20, 2017

Good course content and practical exercises !!

автор: Atul K S

Nov 11, 2017

very good from knowledge point of view .

автор: Carlos P

Sep 14, 2017

Excellent course

автор: Tai C M

Sep 29, 2017

This is my favourite course in the data science. Prior to taking up this course, I have been using technical analysis to achieve my investment goal. I know how to design trading system to trade. Now with machine learning, I learned something new. System trading is reactive and machine learning is predictive. This subject is the reason why I sign up for data science.

автор: Shashikesh M

Aug 03, 2017

An absolute approach of learning machine learning in very unique practical manner. Fundamental at the same to very practical learning course.

автор: Ajendra S

Nov 08, 2017

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

автор: Erich F G

Apr 14, 2018

Great class. Easy to follow and I learned a great deal.

автор: Prakhar P

Jun 06, 2018

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

автор: Rajesh S

Sep 04, 2017

Awsome course!

автор: Deleted A

Dec 04, 2017

Great Stuff. Learned a LOT!!!

автор: JEEWESH K J

Oct 09, 2017

Excellent Course

автор: Ganesh P

May 09, 2018

Very well plan

автор: Antonio M P

Mar 06, 2018

This is great though it is too fast

автор: Jean N

Aug 24, 2017

Very nice Course. I am applying it right away for Predictions in the Telecoms environment.

автор: BHAVINKUMAR A P

Jun 13, 2018

excellent platform for online course ..

автор: Ravi K

Sep 29, 2016

Excellent course for beginner.

автор: Vitalii S

Aug 01, 2017

No swirl exercises, but last project totally worth my time.

автор: Muzaffar H

Oct 15, 2017

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

автор: Theodoros M

Jul 10, 2018

Practical ML is a great course, that provides training in the practical aspects of the topic.

автор: Peter B

Sep 06, 2018

Excellent lectures.

автор: Pablo L

Sep 20, 2018

Excelent course, it's a little bit short considering the breadth of the topic, but covers the most important algorithms and never abandon it's focus on methodology.

автор: Shashwat K

Oct 15, 2018

insightfull