By scipio on Skatehive
Learn AI Series (#5) - Patterns in Data - What "Learning" Actually Looks Like What will I learn You will learn how to spot relationships between variables by looking at data; what correlation means and what it doesn't (spoiler: not causation); the "line of best fit" -- what your eye does naturally; the difference between signal and noise in real data; what happens when one feature isn't enough; the conceptual leap from human pattern recognition to machine pattern recognition. Requirements A working modern computer running macOS, Windows or Ubuntu; An installed Python 3(.11+) distribution; The ambition to learn AI and machine learning. Difficulty Beginner Curriculum (of the Learn AI Series): Learn AI Series (#1) - What Machine Learning Actually Is Learn AI Series (#2) - Setting Up Your AI Workbench - Python and NumPy Learn AI Series (#3) - Your Data Is Just Numbers - How Machines See the World Learn AI Series (#4) - Your First Prediction - No Math, Just Intuition Learn AI Series (#5) -