# MT1B Q1b

Subject: Deep Learning

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/#tee/read/10/tee-c10-s6

Canonical: https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c10-s6/

## Question

**Question (2 marks).** Differentiate machine learning and deep learning with respect to feature extraction and data requirements.

## Answer — step by step

Traditional machine-learning pipelines often rely on manually selected or engineered features; deep networks often learn feature representations jointly with the task. Training a large deep network from scratch commonly needs more data than simpler models. However, pretrained deep features can be useful even with a small target dataset. These are practical tendencies, not absolute definitions.