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Machine Learning
The algorithms, evaluation practices, and engineering discipline behind building and shipping models.
Topics
MLOps
Keeping ML models running correctly in production: versioning, retraining, monitoring, and serving infrastructure.
Covered under: MLOps Engineer
Machine Learning Fundamentals
Core ML concepts interviewers probe for: model families, evaluation, and the training practices behind them.
Covered under: MLOps Engineer, Machine Learning Engineer