Alex started by collecting . Every day, Alex baked dozens of batches, slightly changing the ingredients: Batch A: Extra sugar, low heat. Batch B: Less flour, high heat. Batch C: Blueberries added, medium heat.
After weeks of baking, Alex had a mountain of notes. This was the . Alex noticed something interesting: Introduction to machine learning
If the flour was too low, the muffins collapsed, no matter the temperature. A Visual Introduction to Machine Learning Alex started by collecting
Alex wanted to bake a muffin that every customer would love. Usually, a chef writes a "classical" recipe: 2 cups of flour, 1 cup of sugar, bake at 350°F. This is like , where a human gives a computer exact, step-by-step instructions to follow. Batch C: Blueberries added, medium heat
But Alex didn't know the exact rules for "perfection." So, Alex decided to let the kitchen . Step 1: Gathering the Ingredients (Data)
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