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实用机器学习, 约翰霍普金斯大学

4.5
2,333 個評分
449 個審閱

課程信息

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

創建者 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.

創建者 AS

Aug 31, 2017

Highly recommend this course. It makes you read a lot, do lot's of practical exercises. The final project is a must do. After finishing this course you can start playing with kaggle data sets.

篩選依據:

441 個審閱

創建者 João Freire

Feb 14, 2019

Very good course. Clear explanations and examples give a good overview of the foundations of Machine Learning. After this course the student can build Machine Learning models.

創建者 Raul Martinez

Feb 12, 2019

The class is good but it is too simple. I expected the professor will provide more detail about the models. This is just an introduction and weak for a specialization.

創建者 Avizit Chandra Adhikary

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 Philip Erik Wikman Jorgensen

Jan 30, 2019

Jef leek explains to fast and the theory behind the different algorithms is scarcely explained.

創建者 Daniel J. Rodriguez

Jan 17, 2019

Seems like a lot to pack into 4 -weeks. Should really be named introductory machine learning. Needs more depth and better development of the intuitions associated to each algorithm class to match the expectations.

創建者 Mohammad Abuarar

Jan 17, 2019

Wonderful course and instructor, it was the best in the specialization courses so far.

One note is that for most of the methods the explanation was too much precise and short and needed to reinforce it by extra material

創建者 David Robinson

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 Alex Fleming

Dec 30, 2018

A fine introduction, but there are much more engaging and better quality courses out there...

創建者 Luis Manuel Murillo Reyna

Dec 24, 2018

very good

創建者 Gaurav Bhosale

Dec 22, 2018

Loved the course