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学生对 约翰霍普金斯大学 提供的 实用机器学习 的评价和反馈

4.5
3,050 个评分
579 条评论

课程概述

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....

热门审阅

MR
Aug 13, 2020

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

AD
Feb 28, 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.

筛选依据:

126 - 实用机器学习 的 150 个评论(共 570 个)

创建者 HARSH L

Jul 11, 2016

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

创建者 Andrew

Jul 23, 2019

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

创建者 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.

创建者 Charbel L

Sep 7, 2019

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

创建者 Light0617

Sep 4, 2016

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

创建者 Channaveer P

Apr 20, 2020

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

创建者 Policarpio S

Mar 28, 2016

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

创建者 Gustavo E L

Mar 14, 2016

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

创建者 Yadder A

Oct 31, 2019

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

创建者 Yap Y A

Mar 10, 2019

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

创建者 Weiqun T

Sep 23, 2019

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

创建者 Сетдеков К Р

Feb 3, 2020

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

创建者 Krishna P

Jun 20, 2016

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

创建者 Enrique A M

Oct 18, 2020

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

创建者 Gustavo C G

Aug 7, 2019

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

创建者 Theodoros M

Jul 10, 2018

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

创建者 Wesley E

Feb 15, 2016

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

创建者 André C L

Dec 13, 2018

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

创建者 Raunak S

Nov 19, 2018

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

创建者 Tristan F

Dec 25, 2019

Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.

创建者 Oleksandr K

Jul 11, 2018

Great course! However, it would be good to learn about artificial neural networks as well.

创建者 Jean N

Aug 24, 2017

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

创建者 Tomer E

Aug 6, 2020

Great course!

Covers basics of machine learning algorithms and how to implement them in R.

创建者 Rizwan M

Oct 13, 2019

great course. could have explained more techniques in caret package with coding examples

创建者 Connor B

Sep 24, 2019

Really good exposure to machine learning and builds on the previous course in regression