AL-503 (C) Optimization Techniques in Machine Leaning Notes
5 notes for Optimization Techniques in Machine Leaning, unit by unit.
Notes for AL-503 (C)
- Unit 1 · Short notes Introduction What is optimization · Formulation of LPP · Solution of LPP: Simplex method · Basic Calculus for optimization: Limits and multivariate functions · Derivatives and linear approximations: Single‑variate functions and multivariate functions
- Unit 2 · Short notes Machine Learning Strategy ML readiness · Risk mitigation · Experimental mindset · Build / buy / partner · Setting up a team · Understanding and communicating change
- Unit 3 · Short notes Responsible Machine Learning AI for good and all · Positive feedback loops and negative feedback loops · Metric design and observing behaviours · Secondary effects of optimization · Regulatory concerns
- Unit 4 · Short notes Machine Learning in Production and Planning Integrating information systems · Users break things · Time and space complexity in production · When to retain the model? Logging ML model versioning · Knowledge transfer · Reporting performance to stakeholders
- Unit 5 · Short notes Care and Feeding of Your Machine Learning Model MLPL recap · Post‑deployment challenges · QUAM monitoring and logging · QUAM testing · QUAM maintenance · QUAM updating
More for AL-503 (C)
- Previous Year Papers 1 paper, latest Dec 2024 Free
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