6: Naive Bayes - Deepstash
6: Naive Bayes

6: Naive Bayes

A naive Bayes classifier is a powerful but relatively lightweight algorithm capable of estimating probabilities based on the calculated features of data.

This level of academic and investigative rigour would be overkill where ‘common sense’ is available but is a valuable standard when traversing the many ambiguities and potentially unrelated correlations that may exist in a machine learning dataset.

Naive Bayes filters are well-represented in disease prediction and document categorization, spam filtering, sentiment classification, recommender systems, and fraud detection.

149

270 reads

CURATED FROM

IDEAS CURATED BY

The Math Of Machine Learning

The idea is part of this collection:

Introduction to Web 3.0

Learn more about computerscience with this collection

The differences between Web 2.0 and Web 3.0

The future of the internet

Understanding the potential of Web 3.0

Related collections

Read & Learn

20x Faster

without
deepstash

with
deepstash

with

deepstash

Personalized microlearning

100+ Learning Journeys

Access to 200,000+ ideas

Access to the mobile app

Unlimited idea saving

Unlimited history

Unlimited listening to ideas

Downloading & offline access

Supercharge your mind with one idea per day

Enter your email and spend 1 minute every day to learn something new.

Email

I agree to receive email updates