A fast, beginner-friendly explanation of AI vs ML vs deep learning, with simple examples and a clear mental map for the rest of the series.
Week 2: AI in a Nutshell – 5-Minute Introduction
TL;DR: This article is a fast conceptual reset that clarifies the relationship between artificial intelligence, machine learning, and deep learning. It gives readers a clean vocabulary for the rest of the series.
The Core Definitions
- Artificial Intelligence (AI): The broad ambition of building intelligent systems.
- Machine Learning (ML): The main modern approach to AI through data-driven learning.
- Deep Learning: A powerful subset of ML using multi-layer neural networks.
Why This Framing Works
The author’s aim is to reduce confusion. By seeing these ideas as nested layers rather than competing buzzwords, beginners gain confidence and clarity.
Key Takeaway
This week is about building a strong mental map. Once these terms are clear, deeper topics like supervised learning, neural networks, and NLP become far easier to understand.
Original article: Read on LinkedIn
