Chevron Left
返回到 实用机器学习

学生对 约翰霍普金斯大学 提供的 实用机器学习 的评价和反馈

4.5
3,050 个评分
579 条评论

课程概述

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....

热门审阅

MR
Aug 13, 2020

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
Feb 28, 2017

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.

筛选依据:

401 - 实用机器学习 的 425 个评论(共 570 个)

创建者 BIBHUTI B P

Jul 24, 2017

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

创建者 João R

Aug 20, 2017

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

创建者 Daniel R

May 14, 2016

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

创建者 César A C

Jul 26, 2018

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

创建者 Greig R

Nov 13, 2017

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

创建者 Pieter v d V

Jun 28, 2018

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

创建者 Guilherme C

May 18, 2016

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

创建者 Carlos C

Aug 12, 2017

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

创建者 carlos j m r

Oct 5, 2017

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

创建者 alon c

Mar 10, 2016

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

创建者 anant s

Jun 30, 2017

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

创建者 Caio H

Aug 23, 2019

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

创建者 danxu

Mar 13, 2017

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

创建者 Christian W

Jan 31, 2017

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

创建者 Yew C C

Feb 4, 2016

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

创建者 vivek s

Jun 7, 2016

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

创建者 Ramiro A

Aug 31, 2016

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

创建者 Daniel U

Feb 17, 2016

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

创建者 Matthew L

Jan 6, 2016

Really good overview of machine learning techniques and model evaluation.

创建者 Bhawani P

Jan 6, 2017

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

创建者 S M H R

Feb 10, 2016

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

创建者 Saurabh K

Mar 9, 2017

Very useful course to develop level knowledge in machine learning.

创建者 Johnny C

Oct 23, 2018

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

创建者 Karthik R

Aug 7, 2017

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

创建者 Coral P

Aug 18, 2017

The project is good in letting us practise what we learnt