It's a long weekend (in a lot of the US), perfect time to read the next chapters in Designing Machine Learning Systems! 3. Data Engineering Fundamentals • Data Sources • Data Formats • Data Models • Data Storage Engines and Processing • Modes of Dataflow • Batch Processing Versus Stream Processing 4. Training Data • Sampling • Labeling • Show More Items • Class Imbalance • Data Augmentation 5. Feature Engineering • Learned Features Versus Engineered Features • Common Feature Engineering Operations • Data Leakage • Show More Items • Engineering Good Features