Understanding AI, Machine Learning, Deep Learning
Last Updated on July 25, 2023 by Editorial Team
Author(s): Gencay I.
Originally published on Towards AI.
Differences and Similarities of the AI, Machine Learning, and Deep Learning in the Data Science Field.

Created in LeonardoAI.
As a beginner Data Scientist, you might have come across buzzwords like Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Data Science (DS).
It’s like a jumble of terms that are thrown around interchangeably, leaving you wondering what they actually mean and how they fit into the bigger picture.
Well, fret not! This article is here to explain these terms to you and take you on a journey of discovery.
We’ll explore each concept, unravel their mysteries, and shed light on their practical applications.
By the time we reach the end, you’ll have a solid grasp of these concepts, empowering… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy Resources:
We build Enterprise AI. We teach what we learn. 15 AI Experts. 5 practical AI courses. 100k students
Free: 6-day Agentic AI Engineering Email Guide
Get your free Agents Cheatsheet here. Our proven framework for choosing the right AI architecture.
3 years of hands-on work with real clients into 6 pages.
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Discover Your Dream AI Career at Towards AI JobsOur jobs board is tailored specifically to AI, Machine Learning and Data Science Jobs and Skills. Explore over 100,000 live AI jobs today with Towards AI Jobs!
Note: Article content contains the views of the contributing authors and not Towards AI.