Machine Learning
Subset of Artificial Intelligence which enables machines to improve at tasks with experience (data).
Machine Learning
The foundation of ML
Data
Image Recognition
Used in facial recognition, autonomous driving, and healthcare diagnostics to identify objects or features in images.
The intention of Machine Learning is to
to enable machines to learn by themselves
•The set of instructions or processes that the model uses to learn from data.
Algorithm
Model
The final "learner" that results from training. It’s the tool that makes decisions or predictions
A programmer writes explicit instructions for the computer to follow to achieve a specific outcome
traditional programming
The model is trained on labeled data (i.e., data with known answers)
Supervised Learning
The set of instructions or processes that the model uses to learn from data.
Algorithm