Blog

Some brief notes/tutorials I wrote regarding different machine learning algorithms/approaches. Feel free to reach out with any questions/concerns/corrections.

• Linear Regression
• Logistic Regression
• Multinomial Logistic Regression (Softmax Regression)
• Perceptron Learning
• Decision Trees
• Ensemble Learning
• Model Selection and Validation

• Classification and Regression with Neural Networks
• Common Activation and Loss Functions
• Initialization, Regularization, and Dropout
• Optimization for Deep Learning

• N-Gram Language Models
• Word Embeddings
• Transformers