DEEP LEARNING
AND MACHINE LEARNING
Linear regression (one and multiple variables), logistic regression, and regularization.
Supervised learning: neural networks, learning using backpropagation. Unsupervised learning: k-means algorithm.
Principal Components Analysis for dimensionality reduction.
DEEP LEARNING
AND MACHINE LEARNING
Linear regression (one and multiple variables), logistic regression, and regularization. Supervised learning: neural networks, learning using backpropagation. Unsupervised learning: k-means algorithm. Principal Components Analysis for dimensionality reduction.