Chevron Left
返回到 实用机器学习

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
3,131 個評分
595 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:

76 - 实用机器学习 的 100 個評論(共 585 個)

創建者 Florian

2016年7月9日

Great primer for machine learning with ample additional resources for those who are interested. I feel this course gave me a solid basis to delve deeper into the topic.

創建者 Supharerk T

2016年3月7日

I want to learn ML in R so I go straight to this course without taking any other course in this specialization, and it doesn't disappoint me. Thanks for a great course!

創建者 Saul L

2016年2月8日

This is by far the most enlightening class in the whole specialization. I really got a good handle about how to build a predictive model and apply it to real datasets.

創建者 Camilla J

2018年5月12日

This course was really informative and extremely efficient by letting you know just the few basics needed to build some quite advanced models such as random forest..

創建者 Nicholas A

2018年3月30日

This was my favorite class of the specialization. It was taught very well, and I felt like everything I learned in the previous classes were finally coming together.

創建者 Pablo L

2018年9月20日

Excelent course, it's a little bit short considering the breadth of the topic, but covers the most important algorithms and never abandon it's focus on methodology.

創建者 Rachit K

2017年9月16日

The course gets you deep into ML very quickly ...but I think that's enough to get someone introduced to machine learning. The recommended book a great accompaniment

創建者 Hiran H

2020年6月4日

This is by far the best machine learning course I took. This course is more hands-on "Machine Learning" kind rather than providing just a bunch of videos to watch.

創建者 Emanuele M

2016年11月15日

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

2016年10月23日

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

2017年8月2日

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

2016年11月27日

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

2019年1月14日

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

2018年5月22日

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

2016年12月15日

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

2017年7月2日

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 Dan S

2021年2月25日

The course gave enough of an introduction to allow me to pursue many of the topics on my own. The course does require a fair amount of outside study.

創建者 Sinan G

2017年5月29日

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

2019年12月1日

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

2019年6月18日

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

2017年8月3日

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

2017年6月7日

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

2016年3月1日

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

2018年5月27日

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

2020年5月5日

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