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実践的機械学習 に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による 実践的機械学習 の受講者のレビューおよびフィードバック

4.5
3,195件の評価
615件のレビュー

コースについて

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....

人気のレビュー

JC

2017年1月16日

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!

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

フィルター:

実践的機械学習: 151 - 175 / 606 レビュー

by Enrique A M

2020年10月18日

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

by Gustavo C G

2019年8月7日

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

by Theodoros M

2018年7月10日

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

by 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.

by André C L

2018年12月13日

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

by Raunak S

2018年11月19日

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

by Tristan F

2019年12月25日

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

by Oleksandr K

2018年7月11日

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

by Jean N

2017年8月24日

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

by Tomer E

2020年8月6日

Great course!

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

by Rizwan M

2019年10月13日

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

by Connor B

2019年9月24日

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

by Alfonso R R

2018年11月13日

Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

by Brian G

2017年8月17日

Great course. Mechanics of the final assignment are more difficult than the work itself.

by Paresh P

2020年12月8日

Explained practical machine learning well, concepts like model stacking really helped!

by Sean D

2020年6月10日

Really liked Dr. Leek's talks, and the subject matter was interesting and kind of fun.

by Konstantin

2020年3月2日

Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.

by Donson Y

2017年9月4日

This is a fantasy course to know that how to build your first machine learning model.

by Jorge M A A

2016年4月13日

I enjoyed a lot this module, I'll use at my daily work some of the features I learned

by Premkumar S

2019年3月16日

Great course and farily challenging exercises! Thank You for putting this together!!

by Sai S

2017年7月17日

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

by Thet P S A

2020年8月21日

It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.

by Mary

2019年8月19日

Very informational with good variety of code to take back and apply to projects.

by Nikhilesh J

2018年3月2日

Provides a quick and dirty look at Machine Learning. An easy way to get started.

by Jeffrey M H

2019年6月10日

So far, one of the most fulfilling courses in the Data Science specialization!