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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: 2,756
Рецензии: 514

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

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.

AS

Aug 31, 2017

Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.

Фильтр по:

101–125 из 507 отзывов о курсе Практическое компьютерное обучение

автор: Samir A G

Jan 08, 2017

Excellent course, very practical !

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

автор: Jay S

Aug 27, 2016

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

автор: Billy J

Apr 13, 2016

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

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: Douglas M

Feb 01, 2016

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

автор: benjamin s

Jul 09, 2018

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

автор: Philippine R

May 22, 2017

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

автор: asma m

Oct 02, 2018

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

автор: Akash P

May 11, 2018

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

автор: HARSH L

Jul 11, 2016

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

автор: Andrew

Jul 24, 2019

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

автор: Julio G C

Feb 10, 2018

It is exactly what you need to begin in datascience.

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

автор: Charbel L

Sep 07, 2019

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

автор: Light0617

Sep 04, 2016

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

автор: Policarpio S

Mar 28, 2016

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

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: Yadder A G

Oct 31, 2019

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

автор: Yap Y A

Mar 11, 2019

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

автор: Weiqun T

Sep 23, 2019

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

автор: Krishna P

Jun 20, 2016

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

автор: Gustavo C G

Aug 07, 2019

Excellent introduction to machine learning. Great examples and detailed explanations, as usual

автор: Theodoros M

Jul 10, 2018

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

автор: Wesley E

Feb 15, 2016

Great introduction with a broad set of tools and plenty of resources for more in depth study.

автор: André C L

Dec 13, 2018

very good practical experience using machine learning models, especially regarding PCA usage

автор: Raunak S

Nov 19, 2018

a very good course for those wanting to learn Machine Learning to implement in Data Science.