shezadt/reading

My reading list

reading

Data architecture

• Emerging Architectures for Modern Data Infrastructure

Machine learning

Metrics

• Precision & Recall

Neural network

• Why is my validation loss lower than my training loss?

To read

• How to use Learning Curves to Diagnose Machine Learning Model Performance
• A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning
• Gradient Boosting In Classification: Not a Black Box Anymore!
• Greedy Function Approximation: A Gradient Boosting Machine
• Drift in Machine Learning
• Data Drift vs. Concept Drift: What Are the Main Differences?
• Why You Should Care About Data and Concept Drift
• Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall