DX Heroes logo
#ai
#getting-started

Machine Learning vs Deep Learning

Length: 

2 min

Published: 

March 5, 2025

Machine Learning vs Deep Learning

Machine learning

Machine learning is a field of artificial intelligence where computers learn from data without being programmed step by step.

Models learn to recognize patterns, relationships, and rules that aren't visible in the data at first glance. They can then make predictions, classify, or make decisions on their own, even on new information they have never seen before.

The goal is for them to get steadily better at what they do as more data comes in.

Deep learning

Deep learning is a type of machine learning that teaches AI to recognize patterns in data using neural networks, structures inspired by the human brain.

The more layers (neurons) a model has, the more complex the things it can understand. Classical machine learning often makes do with smaller amounts of data and simpler algorithms, whereas deep learning needs larger amounts of data and more powerful computing.

AIxMLxDL


Related articles:

  • What is AI? - The most searched and most used terms related to artificial intelligence. Short and simple.
  • What is Vibe coding? - Have you heard the term vibe coding? Vibe coding is a way of creating applications through AI where prompting is used instead of manually writing code.
  • TL;DR of the most commonly used AI terms - Getting lost in the terminology of the AI world? Then this article is for you. We've put together the most searched and most used terms related to AI.
  • What is Cursor and what can it do? - Cursor is an IDE that uses AI. It prompts and writes code for you, helps with debugging or refactoring.

Want to stay one step ahead?

Don't miss our best insights. No spam, just practical analyses, invitations to exclusive events, and podcast summaries delivered straight to your inbox.