Select a topic below to test your understanding of AI Basics.
Test your knowledge of normalization, standardization, and why data scaling is crucial for machine learning.
Evaluate your understanding of linear regression, line equations, prediction, and least squares fitting.
Test your understanding of loss functions and evaluation metrics such as MSE, MAE, and cosine similarity.
Evaluate your understanding of the gradient descent algorithm, its purpose, how it works, and how it optimizes model parameters.
Assess your knowledge of Stochastic Gradient Descent, its efficiency advantages, batch processing, and momentum enhancements.
Test your understanding of tensors, their ranks, shapes, and roles in representing multidimensional data in machine learning.