AI ML DL

Most beginners get really confused when they first hear the three keywords: Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning. These terms sound similar, but they are not the same. Let’s break them down in the simplest way possible.

What is Artificial Intelligence (AI)?

Artificial Intelligence simply means providing the ability to a machine to perform tasks that normally require human intelligence.

In other words:

AI makes a machine capable of thinking, understanding, or making decisions like humans.

  • Google Maps finding the best route
  • Siri / Alexa understanding your voice
  • ChatGPT understanding your text
  • Car autopilot deciding when to stop or turn

AI is the big umbrella that covers everything — ML, Deep Learning, robotics, computer vision, NLP, etc.

Subfields of AI

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Automatic Speech Recognition (ASR)
  • Reinforcement Learning

We will explore all these topics in detail. Note that without ML and Deep Learning, we cannot truly master AI.

What is Machine Learning (ML)?

Machine Learning is a subset of AI.

If AI is the concept, ML is the way we achieve it.

Machine Learning means teaching machines to learn from data instead of writing all rules manually.

Examples:

  • Netflix learns what movies you like
  • Email learns what is spam
  • Amazon learns what products you will buy

Important points about Machine Learning

  • ML includes statistical techniques that help computers learn from data.
  • It builds models that mimic intelligent decision-making.
  • It identifies patterns in complex, unstructured data.

What is Deep Learning?

Deep Learning is a subset of Machine Learning.

It uses Neural Networks, which work like a simplified version of the human brain.

Deep Learning learns from huge amounts of data — images, videos, audio, text — and finds complex patterns automatically.

Examples:

  • Face recognition
  • Self-driving car object detection
  • Image classification
  • Voice assistants like Alexa, Google Assistant

Deep Learning is used when regular ML is not powerful enough.

Quick recap:
  • AI = Machines doing intelligent tasks.
  • ML = Machines learning from data.
  • Deep Learning = Advanced ML using neural networks for complex data.