The Mathematics Behind AI
The mathematics behind AI involves key concepts like linear algebra, calculus, probability, and statistics. Linear algebra is crucial for understanding how data is represented and manipulated in AI models, while calculus helps in optimization, especially in training models through techniques like gradient descent. Probability and statistics are used for making predictions and managing uncertainty in AI systems. Together, these mathematical foundations enable AI models to learn from data, make decisions, and improve over time.
