Amazon
AWS AI, Alexa, recommendations, fraud. Practical ML systems, distributed training, deployment.
44 problems tagged for Amazon.
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- The RAG run: search → ground → answerMedium
- Full self-attention from XMedium
- Bayesian A/B Test (Beta-Binomial)Medium
- Linear forward (Wx + b)Easy
- Citation Attribution AssemblyMedium
- Clipped Inverse Propensity WeightingMedium
- Cost-Sensitive Decision ThresholdMedium
- CUPED Variance ReductionMedium
- DDM Concept Drift DetectorMedium
- DPO lossMedium
- Exponential Backoff + JitterEasy
- Faithfulness / Groundedness ScoreMedium
- Feature Hashing (Hashing Trick)Medium
- Gradient Boosting: One Round (Stump)Medium
- Group / Time-Series CV SplitEasy
- Histogram Split Finding (GBM)Hard
- Holt-Winters Exponential SmoothingMedium
- Isolation Forest Anomaly ScoreMedium
- Jensen-Shannon Divergence (Drift)Medium
- Kolmogorov-Smirnov StatisticMedium
- Label-Noise Detection (Confident Learning)Hard
- Levenshtein Edit DistanceEasy
- LoRA forward passEasy
- Sentence Embedding (Masked Mean-Pool)Easy
- Matthews Correlation Coefficient (MCC)Easy
- Multi-Task Score FusionMedium
- Negative Sampling (Implicit Feedback)Medium
- Out-of-Fold Target EncodingMedium
- Pairwise cosine-similarity matrixEasy
- Pairwise Ranking Loss (BPR / RankNet)Medium
- Permutation Feature ImportanceMedium
- Pinball (Quantile) Regression LossMedium
- Point-in-Time Feature JoinMedium
- Population Stability Index (PSI)Medium
- PR-AUC (Average Precision)Medium
- Recursive Chunking with OverlapMedium
- In-Batch Sampled Softmax + logQ CorrectionHard
- Scaled dot-product attentionMedium
- Sliding-Window Counter (Streaming Feature)Medium
- Smoothed Target (Mean) EncodingMedium
- SMOTE OversamplingMedium
- Softmax from scratchEasy
- Temporal Train/Val SplitEasy
- Two-Tower Top-k RetrievalEasy