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Machine Learning Topics

Regression
Decision Trees
Random Forests
Ensmeble Leaning Methods
Clustering
Dimensionality Redcution
Support Vector Machines
Boosting ALgorithms
Bias-Variance
Evalutation Metrics (precision, recall, F1, ROC Curve, AOC score)

Deep Learning Topics

Backpropagation
ConvNet
Batch Normalization
Transfer Learning
Hyperparameter tuning
Data Augmentation
Optimization (adam, RMS, RMSProp)