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Machine Learning
Part1: Supervised and Unsupervised
Part2: Regression and Classification
Part3: Bias and Variance
Part4: Underfitting and Overfitting
Part5: K-Fold Cross Validation
Part6: Lasso and Ridge
Part7: Feature Engineering
Part8: Ensemble Methods
Part9: Decision Trees
Part10: Random Forest
Part11: K-NN
Deep Learning
Part1: Convolution
Part2: Bias
Part3: Activation Functions
Part4: Batch Normalisation
Part5: Pooling layer
Part6: Data Augmentation
Part7: Losses
Part8: Gradient
Part9: Optimizers
Part10: Back-Propagation and Training
Azure Machine Learning
Part1: Workspace
Part2: Compute Resources
Part3: Exploring Data
Part4: Train Using Azure ML
Part5: Deploy
Part6: Clean-up
News
News
December 29, 2023
Sam Altman OpenAI Controversy: Insight into AI Leadership
Puru Dewan
December 29, 2023
OpenAI’s $100 Billion Valuation: Defining the Tech Industry
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December 28, 2023
New York Times Lawsuit Against AI Giants
Puru Dewan
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