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Вернуться к Практическое компьютерное обучение

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

Оценки: 3,159
Рецензии: 604

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:

126–150 из 595 отзывов о курсе Практическое компьютерное обучение

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.

автор: Akash P

10 мая 2018 г.

Great content,clarity and informative.Assignment were perfectly framed to revise all the studied concepts.

автор: HARSH L

11 июля 2016 г.

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

автор: Andrew

23 июля 2019 г.

Great intro to machine learning. Covers the basics to allow you to being using ML concepts on your own.

автор: Julio G C

10 февр. 2018 г.

It is exactly what you need to begin in datascience.

Very good client's service if you've some problem.

автор: Charbel L

7 сент. 2019 г.

Excellent course. Shows how simple it is to start running models with machine learning...! Well done

автор: Light0617

4 сент. 2016 г.

great!!! In this lecture, I learn how to write R code to analyze data with Machine learning methods.

автор: Channaveer P

20 апр. 2020 г.

Excellent course. Enables student to understand multi variable regression and comparing accuracies.

автор: Policarpio S

28 мар. 2016 г.

I really enjoyed this course. The material was concise and allows me to get up and running with ML.

автор: Gustavo E L

14 мар. 2016 г.

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

автор: Yadder A

31 окт. 2019 г.

It's the best course I've taken. It has all the basics about machine learning algorithms and more.

автор: Yap Y A

10 мар. 2019 г.

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

автор: Weiqun T

23 сент. 2019 г.

This is a very good basic course for machine learning. I got the basic ideas and skills for it.

автор: Сетдеков К Р

3 февр. 2020 г.

Great course! Very useful to train using advanced classification models and ensemble learning.

автор: Krishna P

20 июня 2016 г.

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

автор: Enrique A

18 окт. 2020 г.

Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.