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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
3,054 個評分
579 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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401 - 实用机器学习 的 425 個評論(共 570 個)

創建者 BIBHUTI B P

2017年7月24日

This was a superb module which created a deep learning insight within me focusing on future technology

創建者 João R

2017年8月20日

Got confused how to perform cross validation and when. Other than that, very practical. Great job.

創建者 Daniel R

2016年5月14日

The course is really great, however it should last a little longer, 4 weeks is hard to accomplish

創建者 César A C

2018年7月26日

Very interesting course. May be a little bit harder than the previous ones but it could be done.

創建者 Greig R

2017年11月13日

Good course, I learnt a lot. It does need to be updated with more modern versions of software.

創建者 Pieter v d V

2018年6月28日

Very quick overview. If you really want to know something about it read the reference books.

創建者 Guilherme C

2016年5月18日

Title says everything. Practically and basically no theory explained. Good course though.

創建者 Carlos C

2017年8月12日

Excellent content so I give 4 starts. I stat less because the trainer speaks too fast.

創建者 carlos j m r

2017年10月5日

I thought there were Swirl practice as other courses, however this course is very good.

創建者 alon c

2016年3月10日

Great Course, will be nice to have more projects to see how it goes with different data

創建者 anant s

2017年6月30日

good course for initial understanding of machine learning. SVM can also be included.

創建者 Caio H

2019年8月23日

I learned a lot in this course, but I would recommend taking the courses in order.

創建者 danxu

2017年3月13日

very good, but if it has swirl practice like th other courses it would be perfect.

創建者 Christian W

2017年1月31日

First 3 weeks are manageable and the final project is great! I had a lot of fun :)

創建者 Yew C C

2016年2月4日

Wish to have more systematic structure, detail information and hands-on exercises.

創建者 vivek s

2016年6月7日

introduces lot of machine learning techniques which are used by practitioners !

創建者 Ramiro A

2016年8月31日

Nice course, Gives a god insight on what can me done with R and Predictions

創建者 Daniel U

2016年2月17日

Fast paced and little focused on the algorithms but quite useful overall.

創建者 Matthew L

2016年1月6日

Really good overview of machine learning techniques and model evaluation.

創建者 Bhawani P

2017年1月6日

briefly summarised the machine learning algorithms. Good place to start!

創建者 S M H R

2016年2月10日

A good course where you can learn how ML algorithms work practically.

創建者 Saurabh K

2017年3月9日

Very useful course to develop level knowledge in machine learning.

創建者 Johnny C

2018年10月23日

It was in general nice course. However, quizzes need improvement.

創建者 Karthik R

2017年8月7日

Bit tough, but I will have to say, good introductory course.

創建者 Coral P

2017年8月18日

The project is good in letting us practise what we learnt