Engineering reference for Indian students

Data engineering

MLOps

5 self-contained study topics — notes, diagrams, formulas, and worked examples for exams and GATE.

Topics

Experiment Tracking
For B.Tech exams, experiment tracking is tested for definition plus one direct derivation or numerical; align notation with Goodfellow, Bengio & Courville (Deep Learning).
Model Deployment Strategies
For B.Tech exams, model deployment strategies is tested for definition plus one direct derivation or numerical; align notation with Tan, Steinbach & Kumar (Introduction to Data Mining).
Feature Stores
For B.Tech exams, feature stores is tested for definition plus one direct derivation or numerical; align notation with Tom Mitchell (Machine Learning).
Model Monitoring and Drift
For B.Tech exams, model monitoring and drift is tested for definition plus one direct derivation or numerical; align notation with Bishop (Pattern Recognition and Machine Learning).
CI CD for ML
For B.Tech exams, ci cd for ml is tested for definition plus one direct derivation or numerical; align notation with Goodfellow, Bengio & Courville (Deep Learning).