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

1 Machine Learning

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

2 Deep Learning

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

3 Natural Language Processing

  • N-Gram Language Models
  • Word Embeddings
  • Transformers

Akshat Pandey

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