K-Nearest Neighbors (KNN) is a lean algorithm that still features prominently across academic papers and private sector machine learning research initiatives.
KNN has been called ‘the lazy learner’, since it exhaustively scans a dataset in order to evaluate the relationships between data points, rather than requiring the training of a full-fledged machine learning model.
KNN has been used for online signature verification, image classification, text mining, crop prediction, and facial recognition, besides other applications and incorporations.
148
238 reads
CURATED FROM
IDEAS CURATED BY
The Math Of Machine Learning
“
The idea is part of this collection:
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.
I agree to receive email updates