Generative AI 1.4: Optimization Techniques
Optimization refers to the process of finding the best parameters for a model to minimize (or maximize) some objective function, typically the loss function ...
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Generative AI 1.3: Probability and Statistics
In machine learning and generative AI, probability is used to model uncertainty and randomness, while statistics helps us make inferences about data. These c...
Generative AI 1.2: Calculus
Calculus plays a fundamental role in machine learning, especially in training neural networks. During training, the network adjusts its parameters (weights a...
Generative AI 1.1: Linear Algebra
Linear algebra is the foundation of machine learning and neural networks. In particular, vectors and matrices are used to represent and manipulate data, weig...
Crash Course: Calculus
Calculus is a branch of mathematics focused on change (differentiation) and accumulation (integration). It is divided into differential calculus and integral...