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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

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.

フィルター:

実践的機械学習: 201 - 225 / 606 レビュー

by Alejandro B G

2016年2月9日

A great Course, my favorite into the Data Science Specialization

by Gary R S

2017年12月31日

Excellent intro to machine learning with interesting projects.

by PRAKASH J M

2017年12月25日

Pushed me to learn and experiment and make mistakes. Thank you

by Aleksey K

2016年2月9日

Made many things clear. Perhaps, the best class in the series.

by Anil P

2022年5月14日

nice course, it enhance the knowledge on machine learning ...

by Anna O

2020年11月4日

a simple way of real practice of machine learning algorithms.

by Vitalii S

2017年8月1日

No swirl exercises, but last project totally worth my time.

by Rui R

2017年2月5日

One of the best courses in the Data Science Specialization,

by Jose R C

2016年8月16日

The machine learning course every Data Scientist should do.

by Harini A

2020年6月8日

Good course material and very practical oriented training

by Erich F G

2018年4月14日

Great class. Easy to follow and I learned a great deal.

by Sebastian R

2017年9月19日

Great intro machine learning, you will know how to use it

by Carlos B

2017年8月10日

This was one of the better courses in the series, thanks.

by Anitha C

2017年7月27日

I enjoyed working on this course. There is a lot good and

by ozan b

2017年4月21日

Best course of the programme. Simple and explained well.

by Harland H

2018年9月30日

Very informative and the project was fun to accomplish.

by Ilia S

2016年4月26日

One of the most valuable courses in the specialization!

by Klever M

2019年7月29日

It was a great overview of the fascinating word of ML.

by Giovanni M C V

2016年2月16日

Excellent course with great didactic. Congratulations!

by Julien N

2018年12月18日

nice pace, good overview to start with modelling in R

by Sanjeev R

2018年12月16日

Introductory course but it explains the basics easily

by Hawk G

2017年12月23日

Good solid intro to the concepts of machine learning.

by Dimitrios G

2017年7月7日

Amazing course. Short videos packed with information!

by antonio q

2018年2月27日

it was great, simply though exhaustive, thanks a lot

by Monnappa

2016年11月12日

Good content as an introduction to Machine learning!