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學生對 约翰霍普金斯大学 提供的 实用机器学习 的評價和反饋

4.5
3,090 個評分
586 條評論

課程概述

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....

熱門審閱

MR
2020年8月13日

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
2017年2月28日

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.

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126 - 实用机器学习 的 150 個評論(共 576 個)

創建者 Akash P

2018年5月10日

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

創建者 HARSH L

2016年7月11日

Awesome course giving a practical experience of a Data Scientist.

Perfect place to get your hands dirty! :)

創建者 Andrew

2019年7月23日

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

創建者 Julio G C

2018年2月10日

It is exactly what you need to begin in datascience.

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

創建者 Charbel L

2019年9月7日

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

創建者 Light0617

2016年9月4日

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

創建者 Channaveer P

2020年4月20日

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

創建者 Policarpio S

2016年3月28日

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

創建者 Gustavo E L

2016年3月14日

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

創建者 Yadder A

2019年10月31日

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

創建者 Yap Y A

2019年3月10日

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

創建者 Weiqun T

2019年9月23日

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

創建者 Сетдеков К Р

2020年2月3日

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

創建者 Krishna P

2016年6月20日

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

創建者 Enrique A M

2020年10月18日

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

創建者 Gustavo C G

2019年8月7日

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

創建者 Theodoros M

2018年7月10日

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

創建者 Wesley E

2016年2月15日

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

創建者 André C L

2018年12月13日

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

創建者 Raunak S

2018年11月19日

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

創建者 Tristan F

2019年12月25日

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

創建者 Oleksandr K

2018年7月11日

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

創建者 Jean N

2017年8月24日

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

創建者 Tomer E

2020年8月6日

Great course!

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

創建者 Rizwan M

2019年10月13日

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