...
Non-deep-learning classifiers
| Anchor | ||||
|---|---|---|---|---|
|
Related pages
Tutorials
- 2017.05.25 - MonkeyLearn.com - A practical explanation of a Naive Bayes classifier
- 2017.09.11 - Analytics Vidhya - 6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
- In simple terms, a Naive Bayes classifier assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. For example, a fruit may be considered to be an apple if it is red, round, and about 3 inches in diameter. Even if these features depend on each other or upon the existence of the other features, all of these properties independently contribute to the probability that this fruit is an apple and that is why it is known as ‘Naive’.
Major websites
Minor websites
- Otoro - Machine Learning
- Ferenc Huszár
- DataSchool.io - In-depth introduction to machine learning in 15 hours of expert videos
Organizations
Companies
...