Machine Learning vs Deep Learning

ML vs Deep Learning

Deep Learning is a specialized subset of Machine Learning. All deep learning is ML, but not all ML is deep learning.

The Relationship

AI ⊃ Machine Learning ⊃ Deep Learning

Comparison

Aspect	Machine Learning	Deep Learning
Data needed	Thousands	Millions
Features	Manual	Auto-learned
Hardware	CPU ok	Needs GPU
Best for	Structured data	Images, text, audio

Machine Learning Example

Predicting house prices from features (size, rooms, location) using linear regression — you choose the features.

Deep Learning Example

Recognizing cats in photos using a neural network — it learns the features (edges, shapes) automatically.

FAQs

When should I use deep learning?

For complex unstructured data (images, speech, language) with lots of training data. Otherwise classic ML is simpler. More in our AI section.

Do I need a GPU?

For deep learning, yes — or cloud GPUs. Classic ML runs fine on a CPU.