Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in certain cases 70 years old.
Given the extent to which these older algorithms support and are enmeshed in the latest trends and headline-grabbing developments in machine learning, it’s a contestable stance.
So let’s take a look at some of the ‘classic’ building blocks underpinning the latest innovations, as well as some newer entries that are making an early bid for the AI hall of fame.
155
963 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