AWS AI & ML
AWS Tutorial: Intro to AI & Machine Learning
Welcome to the Artificial Intelligence and Machine Learning section. AI is revolutionizing software, and AWS is the leader in providing democratized machine learning infrastructure to developers globally.
Why Learn AI & ML in the Cloud?
Training machine learning models requires a massive amount of computing power (GPUs) that most businesses do not own. The cloud allows you to rent supercomputers by the minute to train your models, and then turn them off.
Tutorial Overview
In this tutorial, we will define the core terminology:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning (DL)
The Hierarchy of AI
To navigate the AWS AI ecosystem, you must understand how these three terms nest inside one another:
- Artificial Intelligence (AI): The broadest concept. It describes any system or machine that is capable of mimicking human cognitive functions, such as learning, problem-solving, and recognizing patterns.
- Machine Learning (ML): A specific subset of AI. Instead of explicitly programming a computer with strict rules, you feed it massive amounts of data and allow it to "learn" the rules on its own.
- Deep Learning (DL): A highly specialized subset of ML. It uses complex, multi-layered Artificial Neural Networks (inspired by the human brain) to solve incredibly complex tasks like speech recognition and autonomous driving.
Exercise
?Which field is a specialized subset of Machine Learning that utilizes multi-layered Artificial Neural Networks?