Introduction to Learning

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Introduction to Learning

Coursera · Beginner ·🎮 Reinforcement Learning ·2mo ago

Skills: Supervised Learning70%ML Maths Basics60%

Key Takeaways

Introduction to supervised, unsupervised, and reinforcement learning using algorithms like decision trees and Q-learning

Original Description

This course introduces the foundational concepts of learning, focusing on supervised, unsupervised, and reinforcement learning. Students will learn how machines can learn from data to make predictions, find patterns, and make decisions over time. Topics include key algorithms such as decision trees, linear classifiers, clustering, and Q-learning. Students will develop a practical understanding of how learning systems work and how to apply them to real-world problems.

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