Machine Learning 101

Welcome to the world of Machine Learning! At its core, Machine Learning (ML) is a subfield of Artificial Intelligence (AI) focused on enabling computers to learn from data without being explicitly programmed.

This means that instead of giving detailed instructions for every task to a computer, we provide it with data. ML algorithms empower the computer to identify patterns, make predictions, and improve its performance over time.

We'll cover essential terminology like supervised and unsupervised learning, regression, classification, and other crucial concepts to get you started. To further enrich your understanding, we'll also point you to valuable external resources, such as introductory videos and articles, that provide alternative explanations and real-world examples.

01-ML-Part01.pdf

Lesson Summary

At its core, Machine Learning (ML) is a subfield of Artificial Intelligence (AI) focused on enabling computers to learn from data without being explicitly programmed. This means that instead of giving detailed instructions for every task to a computer, we provide it with data.

ML algorithms empower the computer to identify patterns, make predictions, and improve its performance over time.

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