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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
2,924 個評分
555 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

AD

Mar 01, 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.

DH

Jun 18, 2018

Excellent introduction to basic ML techniques. A lot of material covered in a short period of time! I will definitely seek more advanced training out of the inspiration provided by this class.

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76 - 实用机器学习 的 100 個評論(共 546 個)

創建者 Emanuele M

Nov 15, 2016

It very well done, good pace, and gives you real and concrete elements and examples to build a fully functional machine learning algorithm! i recommend this course

創建者 Piotr K

Oct 23, 2016

Nice introduction to machine learning in R. It is rather basic level, so it not for people that already know some basics related to regression and classification.

創建者 Jan K

Aug 02, 2017

A nice overview of the most popular Machine Learning algorithms. Also very thorough, given the limited amount of time. I recommend anyone interested to take it!

創建者 Francisco J D d S F G

Nov 27, 2016

The best course of the specialization along with the statistical inference one - the final assignment is very fun to do, pretty much like a Kaggle competition.

創建者 David R

Jan 14, 2019

Great introduction to Machine Learning in R. Concepts explained very clearly and project gave opportunity to test out the concepts introduced to real data.

創建者 Vinicio D S

May 22, 2018

You will learn how to use the caret package and learn how to implement ML algorithms. If you want the theory behind it, you need to go to other courses

創建者 Selim J R

Dec 15, 2016

Excellent course. I feel like i know so much already even though we scratched the tip of the iceberg. Will definitely enroll in more advanced courses.

創建者 Pouria T

Jul 02, 2017

Great course, thank you. I was able to use what I have learned from the previous 7 courses and see them on in action through this course. Thank you :)

創建者 Sinan G

May 29, 2017

Very fine course in machine learning where the focus is more on the use of ML rather on the theory behind it i.e. the course title fits its contents.

創建者 Deleted A

Dec 01, 2019

The course is amazing. The use of training and testing to predict data analysis made me more fascinated and interested in Data Science. Very nice!

創建者 Jerome S P

Jun 18, 2019

Very good explanation! Trying to do the examples help me understand more plus the explanation which is not on the slide helps a lot. Thank you

創建者 Shashikesh M

Aug 03, 2017

An absolute approach of learning machine learning in very unique practical manner. Fundamental at the same to very practical learning course.

創建者 Chris N

Jun 07, 2017

loved it - fascinating subject and more detail than you could possibly want from the course instructors. Friendly community in the forum too.

創建者 Matthew W

Mar 01, 2016

High level and brief overview but found it informative introduction into machine learning with R. The final project is fun and interesting.

創建者 Javier A D

May 27, 2018

References were very usefull for doing deep analisys in the thems

Quices were challenge.I learn a lot solving them.

I mis the swirl sessions

創建者 Swaraj M

May 05, 2020

Thank you coursera for helping to get the fundamentals of machine learning, now I am confident enough to switch my career in data science.

創建者 Laro N P

Jul 22, 2018

Good course, I miss more practice exercise because theory is always welcome but when we are capable to understand is doing real practice.

創建者 Gustavo S

Apr 20, 2020

Very nice course, well-explained, sometimes a little bit fast if you dont have the luck of having previous knowledge.

100% recommendable

創建者 Nathan M

Jun 11, 2016

Extremely useful class! Jeff also has many excellent suggestions for resources that will teach you even more about machine learning.

創建者 Diandian Y

Nov 28, 2019

a broad coverage of content and very intuitive explanation for different algorithm. Good start point to learn machine learning.

創建者 Avizit C A

Jan 31, 2019

A very good course giving brief descriptions and applications of some of the used statistical and machine learning algorithms.

創建者 Dan K H

Mar 27, 2017

Yet again an excellent course by Jeff, Roger and Brian. Thank you very much for a well layout course and some good excersizes.

創建者 Peter D

Oct 07, 2016

One of my favorites in the series! What I have been waiting for building up the prerequisite knowledge. Enjoy the instructor!

創建者 andy p

Aug 10, 2016

Great topic with a great instructor. Only wish the program was a little longer to spend some more time on some of the models.

創建者 Prakhar P

Jun 06, 2018

This course introduces to the machine learning package caret. A solid launch pad into the exciting world of data analytics.