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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
3,086 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.

篩選依據:

176 - 实用机器学习 的 200 個評論(共 576 個)

創建者 Massimiliano F

2017年2月17日

In my opinion, the best course of the entire Data Science Specialization

創建者 Diana S

2016年2月10日

Thank you son much!!!!

I really like the course.

It help me in my job =)

創建者 Mehrdad P

2019年11月20日

Overall was a great course for an overview of the techniques available.

創建者 Filippo C

2020年5月3日

It was very interesting. It sparked the interest to deepen this topic!

創建者 Robert J C

2019年10月27日

It gets harder but fun...R, as well Python and Matlab, can do AI well.

創建者 Bruno R S

2019年3月7日

a quick introduction to the basic algorithms for machine learning in R

創建者 Mehdi Z

2016年3月25日

Hands-on training, practical introduction to machine learning using R!

創建者 Ray W

2016年3月21日

Principle and practices. Good coverage on topics to get you started!

創建者 Bojan B

2018年10月14日

Great course with great materials. Easy to understand and to learn.

創建者 Sebastian F

2016年1月24日

Great course. Really educational and informative. Well taught too!

創建者 Roberto D

2017年6月20日

Methods to be applied in preparation for creating a data product.

創建者 Reza M

2020年7月9日

Excellent engaging course. At times difficult but very enjoyable

創建者 Alejandro B G

2016年2月9日

A great Course, my favorite into the Data Science Specialization

創建者 Gary R S

2017年12月31日

Excellent intro to machine learning with interesting projects.

創建者 PRAKASH J M

2017年12月25日

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

創建者 Aleksey K

2016年2月9日

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

創建者 Anna O

2020年11月4日

a simple way of real practice of machine learning algorithms.

創建者 Vitalii S

2017年8月1日

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

創建者 Rui R

2017年2月5日

One of the best courses in the Data Science Specialization,

創建者 Jose R C

2016年8月16日

The machine learning course every Data Scientist should do.

創建者 Harini A

2020年6月8日

Good course material and very practical oriented training

創建者 Erich F G

2018年4月14日

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

創建者 Sebastian R

2017年9月19日

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

創建者 Carlos B

2017年8月10日

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

創建者 Anitha C

2017年7月26日

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