Day170 - MLOps Review: Model Development and Offline Evaluation (4)
Designing Machine Learning Systems: Model Offline Evaluation (Methods: Perturbation Tests, Invariance Tests, etc.)
Recent posts
Day169 - MLOps Review: Model Development and Offline Evaluation (3)
Designing Machine Learning Systems: Auto ML (Hyperparameter Tuning & NAS), Model Offline Evaluation (1) (Establishing Baselines)
Day168 - MLOps Review: Model Development and Offline Evaluation (2)
Designing Machine Learning Systems: Experiment Tracking, Versioning, and Distributed Training (Data Parallel)
Day167 - MLOps Review: Model Development and Offline Evaluation (1)
Designing Machine Learning Systems: Model Selection, Evaluating ML Models, & Ensemble Method (Bagging, Boosting, and Stacking)
Day166 - MLOps Review: Feature Engineering (3)
Designing Machine Learning Systems: Data Leakage (Definition, Common Causes, Detecting and Preventing it)
Day165 - MLOps Review: Feature Engineering (2)
Designing Machine Learning Systems: Feature Engineering Techniques (2) (Positional Embeddings) & Engineering Good Features
Day164 - MLOps Review: Feature Engineering (1)
Designing Machine Learning Systems: Feature Engineering Techniques (1) (Handling Missing Values, Scaling, Normalization, Binning, Encoding Categorical Values...
Day163 - MLOps Review: Training Data (4)
Designing Machine Learning Systems: Data Augmentation (Simple Label-Preserving Transformations, Perturbation, and Data Synthesis)
Day162 - MLOps Review: Training Data (3)
Designing Machine Learning Systems: Class Imbalance (How to Deal with the problems: Evaluation Metrics, Over & Undersampling, Resampling and Algorithm-le...
Day161 - MLOps Review: Training Data (2)
Designing Machine Learning Systems: Labeling (Hand Labels, Natural Labels, & Addressing the Lack of Labels - Active Learning, etc.)