AI, Supervised Learning, Machine Learning.
function in the opposite way to the optimization process itself, helping to prevent overfitting. 4. Feature engineering. Think of feature engineering as selecting the right ingredients for your recipe. Sometimes, you need to choose the most relevant aspects of your data to make your model better.