Machine Learning is the process of letting your machine use the data to learn the relationship between predictor variables and the target variable. It is one of the first steps toward becoming a data scientist.
There are two kinds of Machine Learning: supervised, and unsupervised learning. In supervised learning, there are two types: Regression and Classification.
26
274 reads
CURATED FROM
IDEAS CURATED BY
A machine learning example
“
The idea is part of this collection:
Learn more about artificialintelligence with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Related collections
Similar ideas to Machine Learning Explained
Polynomial regression is a unique case of linear regression:
Currently, there is no widely accepted and agreed basis for ensuring that the machine learning algorithms used in the vehicles are safe.
Autonomous vehicles will use artificial intelligence and machine learning to process the data collected from its sensors to help make de...
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