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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
Puru Dewan
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
Puru Dewan
December 28, 2023
New York Times Lawsuit Against AI Giants
Puru Dewan
December 26, 2023
Clean-up Your Azure ML Resources
Puru Dewan
December 26, 2023
Deploy a Model as a Service in Azure ML
Puru Dewan
December 26, 2023
Train a Machine Learning Model Using Azure ML
Puru Dewan
December 26, 2023
Exploring Data for Machine Learning
Puru Dewan
December 26, 2023
Creating Compute Resources in Azure Machine Learning
Puru Dewan
December 26, 2023
Setting Up Your Azure Machine Learning Workspace
Puru Dewan
December 20, 2023
K-NN in Machine Learning: Harnessing the Wisdom of Neighbors
Puru Dewan
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