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| Companies | ||||
|---|---|---|---|---|
| The Peeking Problem | Machine Learning Fundamentals | Medium | ||
| The Fine-Tuning Freeze | Deep Learning | Medium | ||
| Taking the Advantage | Reinforcement Learning | Medium | ||
| The L1 vs. L2 Duel | Feature Engineering | Medium | ||
| Inverted Dropout Scaling | Coding & Algorithms | Easy | ||
| The Chaining Effect | Unsupervised Learning | Medium | ||
| Vectorizing Conditionals | Coding & Algorithms | Medium | ||
| The Target Leak Trap | Data Preprocessing | Medium | ||
| The Flawed Mean | MLOps & Deployment | Medium | ||
| To Log or Not to Log | ML System Design | Easy | ||
| Notebook to Prod Catastrophe | ML System Design | Easy | ||
| One-Hot Dummy Trap | Coding & Algorithms | Easy | ||
| The Picky Predictor | Model Evaluation | Easy | ||
| The Sunday False Alarm | Time Series | Medium | ||
| The Quadratic Crunch | Deep Learning | Medium | ||
| The Income Domination | Unsupervised Learning | Easy | ||
| The Batch Size Bottleneck | Deep Learning | Hard | ||
| The Invariant Illusion | Deep Learning | Easy | ||
| The Dendrogram Leap | Unsupervised Learning | Medium | ||
| Slicing Words into Pieces | Generative AI & Large Language Models | Easy | ||
| The Outlier Ultimatum | Data Preprocessing | Medium | ||
| Routing Between Experts | Generative AI & Large Language Models | Hard | ||
| Taming the Multi-Box Swarm | Computer Vision | Medium | ||
| Argpartition Speedup | Coding & Algorithms | Hard | ||
| Slicing Sentences in Half | AI Engineering | Easy | ||
| The Curse of Cardinality | Feature Engineering | Easy | ||
| The Second Moment Squeeze | Optimization & Numerical Methods | Medium | ||
| Conditioning the Sequence | Time Series | Hard | ||
| The Dynamic Batch Advantage | MLOps & Deployment | Medium | ||
| Beam Search Length Penalty | Coding & Algorithms | Hard | ||
| Paying the Alignment Tax | Generative AI & Large Language Models | Easy | ||
| Escaping the Checkerboard | Computer Vision | Medium | ||
| The Co-Adaptation Cure | Deep Learning | Easy | ||
| The One-Split Wonder | Model Evaluation | Medium | ||
| The On vs Where Left Join Filter | SQL & Data Manipulation | Easy | ||
| The Target Encoding Trap | Data Preprocessing | Hard | ||
| The Bandit's Advantage | MLOps & Deployment | Medium | ||
| Guarding the Instructions | AI Engineering | Easy | ||
| Casting Actors and Critics | Reinforcement Learning | Easy | ||
| The 99 Percent Trap | Model Evaluation | Easy | ||
| Forest Fatigue | ML Algorithms | Hard | ||
| Lost in 2048 Dimensions | Machine Learning Fundamentals | Hard | ||
| The One-Trick GAN | Machine Learning Fundamentals | Hard | ||
| The Harmonic Trap | Model Evaluation | Easy | ||
| Why Beam Search Kills Creativity | Generative AI & Large Language Models | Medium | ||
| The Pathological Valley | Optimization & Numerical Methods | Medium | ||
| The Noisy Descent | Optimization & Numerical Methods | Easy | ||
| The Inductive Bias Battle | Deep Learning | Medium | ||
| Exploding the Arrays | SQL & Data Manipulation | Easy | ||
| The Spherical Straightjacket | ML Algorithms | Hard | ||
| Sparse Matrix Density Crashes | Coding & Algorithms | Easy | ||
| Stuck in the Ravine | Machine Learning Fundamentals | Hard | ||
| The Ill-Conditioned Zig-Zag | Optimization & Numerical Methods | Medium | ||
| The Underflow Erasure | Optimization & Numerical Methods | Hard | ||
| Rolling IoT Averages | Coding & Algorithms | Medium | ||
| The Pooling Preference | Computer Vision | Easy | ||
| The Lucky Seed | Model Evaluation | Hard | ||
| The Sharp Cutoff | Time Series | Medium | ||
| The Concatenation Trap | Feature Engineering | Hard | ||
| The Batch Size Bonus | Optimization & Numerical Methods | Easy | ||
| The Average Cover-Up | Model Evaluation | Medium | ||
| Peak Concurrency Math | SQL & Data Manipulation | Hard | ||
| The NaN Nightmare | Optimization & Numerical Methods | Easy | ||
| Squaring the U-Shape | Feature Engineering | Medium | ||
| The Bullseye Boundary | Machine Learning Fundamentals | Hard | ||
| The Confidence Collapse | ML Algorithms | Easy | ||
| The Overconfident Classifier | Model Evaluation | Medium | ||
| Streaming the Illusion | AI Engineering | Medium | ||
| Calibrating with Temperature | ML Reliability, Security & Responsible AI | Hard | ||
| Consistent Inference Shapes | Coding & Algorithms | Medium | ||
| How In-Context Learning Works | Generative AI & Large Language Models | Easy | ||
| Variance vs. Separation | Machine Learning Fundamentals | Medium | ||
| L1 Scaling Sabotage | Coding & Algorithms | Easy | ||
| Late Interaction Magic | AI Engineering | Hard | ||
| Swallowing the Document | AI Engineering | Easy | ||
| Why Deduplication Saves Pre-Training | Generative AI & Large Language Models | Medium | ||
| The Crystal Ball Leak | Machine Learning Fundamentals | Medium | ||
| The Cold Start Problem | ML System Design | Easy | ||
| The Cropped Truth | Data Preprocessing | Hard | ||
| The Covariate Shift | Model Evaluation | Hard | ||
| Rolling Over Irregular Time | Coding & Algorithms | Hard | ||
| The Sigmoid Stagnation | Deep Learning | Easy | ||
| Newton's Wrong Turn | Optimization & Numerical Methods | Hard | ||
| The GPU Starvation | ML System Design | Hard | ||
| Focal Loss Implementation | Coding & Algorithms | Medium | ||
| Overkill Retraining | ML System Design | Easy | ||
| The Speed and Story Tradeoff | ML Algorithms | Medium | ||
| To Bag or To Boost? | Machine Learning Fundamentals | Easy | ||
| Fighting Position Bias | ML System Design | Medium | ||
| Shuffling the Future | Data Preprocessing | Medium | ||
| The Flat Minimum | Optimization & Numerical Methods | Easy | ||
| The 10x Danger Jump | Machine Learning Fundamentals | Medium | ||
| The VC Dimension Dilemma | Machine Learning Fundamentals | Hard | ||
| Escaping to Infinity | Optimization & Numerical Methods | Hard | ||
| Warping the Space | ML Algorithms | Medium | ||
| Sudden Amnesia | Reinforcement Learning | Medium | ||
| The Lasso Diet | Machine Learning Fundamentals | Easy | ||
| Cascading Fallbacks | SQL & Data Manipulation | Easy | ||
| The Cost of a False Alarm | Model Evaluation | Easy | ||
| Spinning Positions with RoPE | Generative AI & Large Language Models | Medium | ||
| Spotting Hallucinations via Entropy | Generative AI & Large Language Models | Hard | ||
| Sampling Without Sorting | SQL & Data Manipulation | Hard | ||
| The Rare Category Leak | Feature Engineering | Hard | ||
| Tuning Creative Temperatures | Generative AI & Large Language Models | Easy | ||
| The Frequentist Fallacy | Model Evaluation | Medium | ||
| The Brainwave Blender | Unsupervised Learning | Hard | ||
| Asymmetric Int8 Quantization | Coding & Algorithms | Hard | ||
| The Spatial Autocorrelation Bias | Feature Engineering | Hard | ||
| Cross-Sectional Z-Scores | Coding & Algorithms | Medium | ||
| Bypassing the HBM Bottleneck | Generative AI & Large Language Models | Medium | ||
| Sampling the Impossible | Reinforcement Learning | Hard | ||
| The Hidden Anomaly | Machine Learning Fundamentals | Medium | ||
| Warm Starting Streams | Coding & Algorithms | Hard | ||
| Lawyer Bot: RAG or Fine-Tune? | Generative AI & Large Language Models | Medium | ||
| Synthetic Outlier Sabotage | Data Preprocessing | Medium | ||
| The Time Travel Split | Model Evaluation | Hard | ||
| Lost in a Million Tokens | Generative AI & Large Language Models | Medium | ||
| Nucleus Top-p Sampling | Coding & Algorithms | Medium | ||
| Byte-Pair Encoding (BPE) | Coding & Algorithms | Medium | ||
| Custom Transformer Classes | Coding & Algorithms | Medium | ||
| MC Dropout Uncertainty | ML Reliability, Security & Responsible AI | Medium | ||
| The Rolling Leak | Data Preprocessing | Hard | ||
| Worse by Addition | ML Algorithms | Easy | ||
| Splitting Space and Channels | Computer Vision | Medium | ||
| The Variance Killer | Data Preprocessing | Hard | ||
| The Rainstorm Delay | MLOps & Deployment | Easy | ||
| The Scale Tale | Machine Learning Fundamentals | Easy | ||
| Warping the Time | Time Series | Hard | ||
| The Target Encoding Tightrope | Feature Engineering | Medium | ||
| Brute Force Reversion | Coding & Algorithms | Hard | ||
| The K-Means Lottery | Machine Learning Fundamentals | Easy | ||
| Caching Keys and Values | Generative AI & Large Language Models | Easy | ||
| The Compute Crossroads | Optimization & Numerical Methods | Hard | ||
| The Cigar Slicer | Unsupervised Learning | Medium | ||
| The Changing Vocabulary | Data Preprocessing | Medium | ||
| The Whale Problem | Data Preprocessing | Medium | ||
| Self-Healing Agents | AI Engineering | Medium | ||
| Arbitrary Discrete Sampling | Coding & Algorithms | Medium | ||
| Don't Mean the Machine | Time Series | Medium | ||
| Forcing the Brackets | AI Engineering | Medium | ||
| Catastrophic Cancellation | Optimization & Numerical Methods | Easy | ||
| Grading Your Own Homework | Model Evaluation | Medium | ||
| The Sparse Matrix Monster | Data Preprocessing | Easy | ||
| Label Smoothing Math | Coding & Algorithms | Easy | ||
| The Saddle Point Snag | Optimization & Numerical Methods | Medium | ||
| Ditching the Anchors | Deep Learning | Medium | ||
| The Vanishing Gradient | Natural Language Processing (NLP) | Easy | ||
| The Elephant and the Mouse | Optimization & Numerical Methods | Easy | ||
| The 0% Recall Trap | Deep Learning | Easy | ||
| The Cup Holder Effect | Machine Learning Fundamentals | Easy | ||
| Downsampling Showdown | Computer Vision | Easy | ||
| Ditching the Reward Model | Generative AI & Large Language Models | Medium | ||
| IoU Bounding Box Math | Coding & Algorithms | Medium | ||
| The Too-Strong Learner | ML Algorithms | Medium | ||
| The Silent Accuracy Drop | ML Reliability, Security & Responsible AI | Easy | ||
| MIA Overfitting Danger | ML Reliability, Security & Responsible AI | Medium | ||
| The R-Squared Mirage | Model Evaluation | Easy | ||
| ROC's Rose-Tinted Glasses | Model Evaluation | Medium | ||
| Focusing Past Easy Negatives | Computer Vision | Medium | ||
| Punished by Outliers | Machine Learning Fundamentals | Easy | ||
| The Accuracy Illusion | Machine Learning Fundamentals | Easy | ||
| The Informative Null | Data Preprocessing | Easy | ||
| The Winsorized Wall | Feature Engineering | Easy | ||
| The Identity Function Trap | Unsupervised Learning | Easy | ||
| Why MSE Hates Probabilities | Machine Learning Fundamentals | Medium | ||
| The Consistency King | Model Evaluation | Hard | ||
| The Holiday Hole | Feature Engineering | Easy | ||
| The Wisdom of the Forest | ML Algorithms | Easy | ||
| Quarantine the Split | Time Series | Medium | ||
| The Adam Paradox | Deep Learning | Medium | ||
| The Z-Score Slaughter | Data Preprocessing | Easy | ||
| The Vanishing Gradient | Deep Learning | Easy | ||
| The Silent Feature Killer | Deep Learning | Easy | ||
| Why Models Can't Say I Don't Know | Generative AI & Large Language Models | Easy | ||
| Dilated Vision | Computer Vision | Medium | ||
| The Skewed Perspective | Data Preprocessing | Easy | ||
| Zero vs. Infinite Horizons | Reinforcement Learning | Easy | ||
| Batching the Emails | ML System Design | Easy | ||
| FeatureUnion vs ColumnTransformer | Coding & Algorithms | Medium | ||
| Cycles vs Seasons | Time Series | Medium | ||
| The Temporal Anchor | Feature Engineering | Easy | ||
| Smote's Blind Spot | Machine Learning Fundamentals | Medium | ||
| The Echo Chamber Forest | ML Algorithms | Easy | ||
| Fit vs Transform Leak | Coding & Algorithms | Easy | ||
| Federated Poisoning Defense | ML Reliability, Security & Responsible AI | Medium | ||
| Channel Surgery with 1x1 | Computer Vision | Easy | ||
| The Smooth Latent Space | Deep Learning | Medium | ||
| The Over-Smoothed Encoder | Data Preprocessing | Medium | ||
| Non-Maximum Suppression (NMS) | Coding & Algorithms | Medium | ||
| The Alpha of One | Time Series | Easy | ||
| The Stationary Shift | Feature Engineering | Hard | ||
| Asynchronous Moderation | ML System Design | Easy | ||
| Hybrid Search Rescue | AI Engineering | Medium | ||
| The Inductive Prior Missing | Computer Vision | Medium | ||
| Caching the Meaning | AI Engineering | Easy | ||
| The Sparse Matrix Monster | Feature Engineering | Medium | ||
| Polynomial Memory Walls | Coding & Algorithms | Medium | ||
| Not So Naive Bayes | Machine Learning Fundamentals | Medium | ||
| The Shifting Centers | ML Algorithms | Medium | ||
| Too Many Tools | AI Engineering | Easy | ||
| CPUs vs GPUs | ML System Design | Easy | ||
| Self-Joining Event Sequences | SQL & Data Manipulation | Easy | ||
| The Receptive Field Duel | Deep Learning | Medium | ||
| K-Means Centroid Update | Coding & Algorithms | Medium | ||
| Vectorized MSE Function | Coding & Algorithms | Easy | ||
| Values vs Gradients | Reinforcement Learning | Medium | ||
| The Fairness Fallacy | Model Evaluation | Hard | ||
| Viterbi Sequence Tagging | Coding & Algorithms | Hard | ||
| Trees Don't Care | Data Preprocessing | Easy | ||
| The Small Sample Mirage | Model Evaluation | Medium | ||
| The Staircase vs the Slope | ML Algorithms | Easy | ||
| The Swiss Roll Ruin | Unsupervised Learning | Easy | ||
| Broadcasting Bias Arrays | Coding & Algorithms | Easy | ||
| CTEs vs Nested Subqueries | SQL & Data Manipulation | Medium | ||
| Tokenizing Time | Time Series | Hard | ||
| Escaping the Maze Loop | Reinforcement Learning | Easy | ||
| The Patient-Level Leak | Model Evaluation | Hard | ||
| Target Log Transformations | Coding & Algorithms | Easy | ||
| Trees and Multiplication | Feature Engineering | Medium | ||
| Interpolation Time-Travel Leak | Coding & Algorithms | Easy | ||
| The Trend Stationarity Trap | Time Series | Medium | ||
| The Antonym Paradox | Feature Engineering | Medium | ||
| The Expanding Cone | Time Series | Easy | ||
| The Non-Linear Nudge | Feature Engineering | Easy | ||
| The Likelihood Labyrinth | Deep Learning | Hard | ||
| The Forgotten Eval | Deep Learning | Easy | ||
| The Holiday Explosion | Time Series | Easy | ||
| Four Times Too Many | Time Series | Easy | ||
| The Confident Fool | Deep Learning | Easy | ||
| The Antonym Paradox | Natural Language Processing (NLP) | Easy | ||
| Cartesian Nightmares | SQL & Data Manipulation | Hard | ||
| The Minimax Collapse | Deep Learning | Hard | ||
| Prefill vs Decode | MLOps & Deployment | Hard | ||
| Vectorized Cosine Similarity | Coding & Algorithms | Easy | ||
| Recursive Rabbit Holes | SQL & Data Manipulation | Medium | ||
| The Weight Decay Disconnect | Deep Learning | Easy | ||
| TF-IDF Matrix Algorithm | Coding & Algorithms | Medium | ||
| The Biologist's Complaint | Unsupervised Learning | Medium | ||
| The Bouncing Betas | ML Algorithms | Hard | ||
| The User-Level Leak | Data Preprocessing | Hard | ||
| The Shifting Baseline | Data Preprocessing | Hard | ||
| Approximating the Middle | SQL & Data Manipulation | Hard | ||
| The JSON Bottleneck | MLOps & Deployment | Easy | ||
| Time Series Target Alignment | Coding & Algorithms | Easy | ||
| The DDP Memory Wall | Deep Learning | Hard | ||
| One-Shot Office Security | Computer Vision | Medium | ||
| The Cointegration Quest | Time Series | Hard | ||
| Racing the SLA | ML System Design | Medium | ||
| The Subgroup Sufferer | Model Evaluation | Hard | ||
| Apples and Millions | Data Preprocessing | Easy | ||
| Patchwork Masking | Computer Vision | Hard | ||
| The Flattening Folly | Computer Vision | Easy | ||
| Laplace vs. Gauss | Machine Learning Fundamentals | Hard | ||
| The Billionaire Skew | Data Preprocessing | Easy | ||
| The Identity Crisis | Unsupervised Learning | Medium | ||
| The Quantization Crunch | MLOps & Deployment | Medium | ||
| The KV Cache Tradeoff | Natural Language Processing (NLP) | Hard | ||
| Unlocking Variable Resolutions | Computer Vision | Medium | ||
| The Masking Decision | Natural Language Processing (NLP) | Medium | ||
| The Overzealous Forest | Machine Learning Fundamentals | Easy | ||
| The Lazy Learner Lag | ML Algorithms | Medium | ||
| The Straggler Effect | MLOps & Deployment | Hard | ||
| LoRA for the Masses | MLOps & Deployment | Hard | ||
| The Boosting Burnout | ML Algorithms | Medium | ||
| Time Traveling Pings | ML System Design | Hard | ||
| Merging Text and Numbers | Coding & Algorithms | Medium | ||
| The Zero-Shot Space | Computer Vision | Hard | ||
| The Triangle Trick | Unsupervised Learning | Hard | ||
| The Adversarial Sieve | Data Preprocessing | Hard | ||
| The Embedding Migration | MLOps & Deployment | Hard | ||
| The Drift Shift | Machine Learning Fundamentals | Hard | ||
| Choosing Your Penalty | Model Evaluation | Easy | ||
| Cross-Validation Imputation Leak | Coding & Algorithms | Easy | ||
| The Precision Paradox | ML Algorithms | Hard | ||
| The Skewed Precision | MLOps & Deployment | Medium | ||
| Extraction via Logprobs | ML Reliability, Security & Responsible AI | Hard | ||
| Surviving the Traffic Spike | ML System Design | Hard | ||
| The Missingness Mismatch | Data Preprocessing | Hard | ||
| Aligning Raw Output Indices | Coding & Algorithms | Hard | ||
| The Softmax Bottleneck | Machine Learning Fundamentals | Medium | ||
| The Autoscaling Trap | ML System Design | Hard | ||
| Scaling for the Forest | Feature Engineering | Easy | ||
| Slicing the Sessions | SQL & Data Manipulation | Hard | ||
| The Nested Truth | Model Evaluation | Hard | ||
| Good on Paper, Bad in Prod | Model Evaluation | Medium | ||
| The Milk and Bread Paradox | Unsupervised Learning | Easy | ||
| The Missing Registry | MLOps & Deployment | Easy | ||
| The Stat-Arb Secret | Time Series | Hard | ||
| The Not In Null Trap | SQL & Data Manipulation | Easy | ||
| Counting the Invisible | SQL & Data Manipulation | Easy | ||
| The Square Foot Domination | Feature Engineering | Easy | ||
| The Overlapping Shopper | Unsupervised Learning | Medium | ||
| Continuous Batching at Scale | Generative AI & Large Language Models | Hard | ||
| The Batch Norm Bug | Computer Vision | Medium | ||
| EMA Weight Averaging | Coding & Algorithms | Easy | ||
| Why Entropy Loves IDs | Machine Learning Fundamentals | Hard | ||
| Temporal Data Leakage | Coding & Algorithms | Easy | ||
| The Frequency Shift | Feature Engineering | Hard | ||
| The Infinite Loop Illusion | Unsupervised Learning | Hard | ||
| The Network Topology Fix | Feature Engineering | Hard | ||
| The Density Desert | Unsupervised Learning | Hard | ||
| The Parts-Based Paradigm | Unsupervised Learning | Hard | ||
| The Median's Revenge | Time Series | Easy | ||
| Bounding the Trust | Reinforcement Learning | Hard | ||
| HyperLogLog for Distinct Counts | SQL & Data Manipulation | Medium | ||
| Low-Rank GPU Wizardry | Generative AI & Large Language Models | Medium | ||
| The Data Skew Hang | SQL & Data Manipulation | Medium | ||
| The Sticker Sabotage | ML Reliability, Security & Responsible AI | Easy | ||
| Slashing Memory with Mamba | Generative AI & Large Language Models | Hard | ||
| The Subword Solution | Natural Language Processing (NLP) | Easy | ||
| The Million Dollar Slice | Unsupervised Learning | Easy | ||
| Taming the Thousands | ML Algorithms | Easy | ||
| Vectorizing the Haversine | Coding & Algorithms | Hard | ||
| Rolling the Context | AI Engineering | Easy | ||
| Splitting the Beast | MLOps & Deployment | Hard | ||
| Reservoir Sampling Algorithm | Coding & Algorithms | Medium | ||
| Stratified Group CV | Coding & Algorithms | Hard | ||
| Merging Models on a Sphere | Generative AI & Large Language Models | Hard | ||
| The K-Means Lottery | Unsupervised Learning | Easy | ||
| The Lipschitz Constraint | Deep Learning | Hard | ||
| The Production Paradox | Model Evaluation | Hard | ||
| Serving the Adapters | AI Engineering | Hard | ||
| Dynamic Column Pipelines | Coding & Algorithms | Medium | ||
| Window Functions vs Group By | SQL & Data Manipulation | Easy | ||
| The Threshold Tango | Machine Learning Fundamentals | Medium | ||
| The Privacy/Utility Tightrope | Data Preprocessing | Hard | ||
| The Chaos Catalyst | ML Algorithms | Hard | ||
| Eval for Fast Filtering | Coding & Algorithms | Easy | ||
| The Synonym Blind Spot | Natural Language Processing (NLP) | Easy | ||
| The Cardinality Cheat | ML Algorithms | Easy | ||
| Waiting for the Watch | ML System Design | Hard | ||
| The Momentum Overshoot | Optimization & Numerical Methods | Medium | ||
| The 23-to-0 Chasm | Data Preprocessing | Medium | ||
| Jailbreak Evaluator Flaw | ML Reliability, Security & Responsible AI | Hard | ||
| The Temperature Tuning | Deep Learning | Hard | ||
| Reality Bites the Robot | Reinforcement Learning | Medium | ||
| The 5,000-Column Curse | Data Preprocessing | Easy | ||
| Forcing the Cartesian Matrix | SQL & Data Manipulation | Medium | ||
| The Seasonal Naive | Time Series | Easy | ||
| The 99 Percent Trap | ML Algorithms | Hard | ||
| The Over-Smoothing Trap | Deep Learning | Hard | ||
| The Cold Start Penalty | MLOps & Deployment | Easy | ||
| The Late Stage Brake | Optimization & Numerical Methods | Easy | ||
| The Bloated Container | MLOps & Deployment | Easy | ||
| FGSM vs PGD Evasion | ML Reliability, Security & Responsible AI | Medium | ||
| LoRA Forward Pass | Coding & Algorithms | Hard | ||
| The Global Scaler Leak | Data Preprocessing | Easy | ||
| The Dropout Positive | Natural Language Processing (NLP) | Hard | ||
| Groupby Diff Bottlenecks | Coding & Algorithms | Hard | ||
| O(N log N) ROC-AUC | Coding & Algorithms | Medium | ||
| The Feature Selection Fallacy | Machine Learning Fundamentals | Hard | ||
| Gradient Accumulation Loop | Coding & Algorithms | Hard | ||
| Surviving Sparse Rewards | Reinforcement Learning | Easy | ||
| The Missing Version | MLOps & Deployment | Easy | ||
| The Lat/Lon Dilemma | Feature Engineering | Hard | ||
| The Strategic Disconnect | Data Preprocessing | Hard | ||
| KV Cache Inference Loop | Coding & Algorithms | Hard | ||
| The Smooth Latent Space | Unsupervised Learning | Hard | ||
| Beam vs Greedy Search | Coding & Algorithms | Medium | ||
| The Relative Rotation | Deep Learning | Hard | ||
| Formatting Label Propagation | Coding & Algorithms | Easy | ||
| Peeking at the Future | Time Series | Easy | ||
| Raw Integer Time Traps | Coding & Algorithms | Easy | ||
| The Invisible Threat | Computer Vision | Hard | ||
| Calculating the Streak | SQL & Data Manipulation | Hard | ||
| Double or Nothing | Reinforcement Learning | Hard | ||
| The Memorization Threat | ML Reliability, Security & Responsible AI | Easy | ||
| Omitted Variable Oops | Machine Learning Fundamentals | Hard | ||
| The Hessian Headache | Optimization & Numerical Methods | Medium | ||
| The Shifting Vocabulary | ML System Design | Medium | ||
| Edge Device Dilemmas | ML System Design | Medium | ||
| The Silent Layers | Optimization & Numerical Methods | Hard | ||
| Drowning in Frequent Words | Machine Learning Fundamentals | Medium | ||
| The EM Ping-Pong | Machine Learning Fundamentals | Hard | ||
| Hiding in the Averages | Model Evaluation | Easy | ||
| Infinite Agent Memory | AI Engineering | Hard | ||
| Drafting Fast, Verifying Faster | Generative AI & Large Language Models | Hard | ||
| The Outlier Penalty | Model Evaluation | Easy | ||
| Thinking Before Acting | Generative AI & Large Language Models | Medium | ||
| Sparse Vector Dot Product | Coding & Algorithms | Easy | ||
| Winning by Losing | Optimization & Numerical Methods | Hard | ||
| InfoNCE Contrastive Logits | Coding & Algorithms | Hard | ||
| Hashing High Cardinality | Coding & Algorithms | Easy | ||
| The Staircase Boundary | Machine Learning Fundamentals | Easy | ||
| The Overlapping Rhythms | Time Series | Hard | ||
| Surviving the Missing Feature | ML System Design | Easy | ||
| Accuracy vs Calibration | ML Reliability, Security & Responsible AI | Easy | ||
| Judging the JSON | AI Engineering | Medium | ||
| Where Facts Live in Transformers | Generative AI & Large Language Models | Hard | ||
| Beyond Next-Token Guessing | Generative AI & Large Language Models | Easy | ||
| Stuck in First Gear | ML Algorithms | Medium | ||
| Picking BERT vs. GPT | Generative AI & Large Language Models | Easy | ||
| The Sample Size Paradox | Model Evaluation | Medium | ||
| The Sequential Trap | ML Algorithms | Medium | ||
| The Hidden Cycles | Feature Engineering | Easy | ||
| The Causality Con | ML Algorithms | Hard | ||
| Supernode Stalls | SQL & Data Manipulation | Hard | ||
| Window Syntax Traps | SQL & Data Manipulation | Easy | ||
| The Billionaire Skew | Feature Engineering | Medium | ||
| The Axes of Variance | Unsupervised Learning | Medium | ||
| The Instance Identity | Computer Vision | Medium | ||
| The Long Paragraph Crash | MLOps & Deployment | Hard | ||
| The Pipeline Leak | Data Preprocessing | Medium | ||
| Chaining the Hops | AI Engineering | Hard | ||
| Squashing the Score | ML Algorithms | Easy | ||
| Accumulating the Gradients | MLOps & Deployment | Hard | ||
| The 9 AM False Alarm | Time Series | Medium | ||
| Pandas Memory Compression | Coding & Algorithms | Easy | ||
| The MAPE Mistake | Time Series | Easy | ||
| The Marty McFly Mistake | Machine Learning Fundamentals | Easy | ||
| Inside Q, K, and V | Generative AI & Large Language Models | Easy | ||
| The t-SNE Density Illusion | Unsupervised Learning | Easy | ||
| Slicing the Giant | ML System Design | Hard | ||
| P-Hacking the Test Set | Model Evaluation | Hard | ||
| The Upside-Down Road | Computer Vision | Easy | ||
| The Sequential Bottleneck | Time Series | Medium | ||
| Forward-Filling Missing Rows in SQL | SQL & Data Manipulation | Medium | ||
| Stratified Sampling Algorithm | Coding & Algorithms | Easy | ||
| Rolling vs EWM Logic | Coding & Algorithms | Medium | ||
| The Topological Truth | Unsupervised Learning | Hard | ||
| The Load-Balanced Amnesia | MLOps & Deployment | Medium | ||
| When K-Means Cuts Corners | Machine Learning Fundamentals | Medium | ||
| The Confidence Illusion | Feature Engineering | Hard | ||
| Fast Mapping over Merges | Coding & Algorithms | Easy | ||
| The Viterbi Advantage | Natural Language Processing (NLP) | Medium | ||
| The Proxy Variable Problem | ML Reliability, Security & Responsible AI | Easy | ||
| Permutation Importance Logic | Coding & Algorithms | Medium | ||
| The Isolation Game | Unsupervised Learning | Medium | ||
| Scoring Asymmetric Costs | Coding & Algorithms | Hard | ||
| The Plateau Purgatory | Optimization & Numerical Methods | Medium | ||
| Routing the Smarts | AI Engineering | Easy | ||
| Fine-Tuning on a Diet | Computer Vision | Easy | ||
| Connecting the Dots | AI Engineering | Hard | ||
| The Monolithic Anti-Pattern | MLOps & Deployment | Hard | ||
| The Equivariant Rotation | Computer Vision | Hard | ||
| Real-Time vs Batch | MLOps & Deployment | Easy | ||
| The Synthetic Leak | Feature Engineering | Medium | ||
| Shrinking Caches with GQA | Generative AI & Large Language Models | Hard | ||
| Leaky Patient Scans | Coding & Algorithms | Easy | ||
| The Cone of Error | Machine Learning Fundamentals | Hard | ||
| Generator for Mini-Batches | Coding & Algorithms | Easy | ||
| The Backtesting Mirage | ML System Design | Medium | ||
| The Neural View | Computer Vision | Hard | ||
| The Accuracy Paradox | Model Evaluation | Easy | ||
| FlashAttention Memory Math | Coding & Algorithms | Hard | ||
| Streaming the Context | ML System Design | Hard | ||
| Numerically Stable Softmax | Coding & Algorithms | Easy | ||
| Imblearn Pipeline Rules | Coding & Algorithms | Medium | ||
| Straight-Through Estimator | Coding & Algorithms | Hard | ||
| Demographic Parity Duel | ML Reliability, Security & Responsible AI | Medium | ||
| The Outlier Outrage | Machine Learning Fundamentals | Easy | ||
| The Softmax Bottleneck | Natural Language Processing (NLP) | Hard | ||
| The Synthetic Twin | Time Series | Hard | ||
| Sargable Wildcards | SQL & Data Manipulation | Easy | ||
| The ROUGE Disconnect | Natural Language Processing (NLP) | Medium | ||
| The Income Illusion | ML Algorithms | Medium | ||
| The Highway Noise Problem | Unsupervised Learning | Easy | ||
| Sticking to the Script | AI Engineering | Medium | ||
| Paging the Cache | AI Engineering | Hard | ||
| The Confounding Cure | Feature Engineering | Hard | ||
| Trees vs. Tensors | Machine Learning Fundamentals | Medium | ||
| Centralized Brains | Reinforcement Learning | Hard | ||
| Exploding Dictionaries | Coding & Algorithms | Medium | ||
| Sparse Dummy Matrices | Coding & Algorithms | Medium | ||
| The PCA Pancake | Machine Learning Fundamentals | Medium | ||
| As-of Joins for Markets | Coding & Algorithms | Hard | ||
| Caching Pipeline Steps | Coding & Algorithms | Medium | ||
| Union vs Union All Overhead | SQL & Data Manipulation | Easy | ||
| OOM Chunk Clustering | Coding & Algorithms | Hard | ||
| On-Policy vs. Off-Policy Dynamics | Reinforcement Learning | Easy | ||
| The Error Carousel | Deep Learning | Medium | ||
| When Noise is a Feature | Optimization & Numerical Methods | Medium | ||
| Drafting Fast and Verifying | AI Engineering | Hard | ||
| Anti-Join Under the Hood | SQL & Data Manipulation | Hard | ||
| The SVM Scaling Wall | Unsupervised Learning | Easy | ||
| The Quadratic Context Wall | Natural Language Processing (NLP) | Medium | ||
| Forging the Brand Voice | AI Engineering | Medium | ||
| GridSearchCV Init Crash | Coding & Algorithms | Hard | ||
| The Seed Shuffle | ML Algorithms | Hard | ||
| The Subpopulation Snub | Data Preprocessing | Medium | ||
| Ranking the Rivals | SQL & Data Manipulation | Medium | ||
| The Agglutinative Avalanche | Data Preprocessing | Hard | ||
| DP-SGD Privacy Tradeoff | ML Reliability, Security & Responsible AI | Hard | ||
| The Extrapolation Wall | Natural Language Processing (NLP) | Hard | ||
| The Online Learning Risk | ML System Design | Medium | ||
| The Extrapolation Wall | Time Series | Medium | ||
| The Overgrown Tree | ML Algorithms | Easy | ||
| The Mini-Batch Middle Ground | Machine Learning Fundamentals | Easy | ||
| The Missing Weather Forecast | Time Series | Hard | ||
| The Goldilocks Neighbors | ML Algorithms | Easy | ||
| Catastrophic Summer Forgetting | MLOps & Deployment | Hard | ||
| Batching in Motion | AI Engineering | Hard | ||
| Shadowing the Prices | ML System Design | Medium | ||
| Moving the Goalposts | Model Evaluation | Hard | ||
| Racing the Spikes | ML System Design | Medium | ||
| Thirsty for Negatives | Unsupervised Learning | Hard | ||
| The Poison Pill Feature | ML Algorithms | Hard | ||
| Sharpening Experts Against Amateurs | Generative AI & Large Language Models | Medium | ||
| Trading Accuracy for Speed | AI Engineering | Easy | ||
| The Five-Day Blind Spot | Time Series | Easy | ||
| The Boring Beam | Natural Language Processing (NLP) | Medium | ||
| Reading the Charts | AI Engineering | Medium | ||
| The Dilated Window | Time Series | Medium | ||
| Squeezing the Weights | AI Engineering | Medium | ||
| Pivoting from Scratch | SQL & Data Manipulation | Medium | ||
| The Tortoise and the Hare | Optimization & Numerical Methods | Hard | ||
| The Variance Disconnect | Unsupervised Learning | Medium | ||
| The Billion-Row Sketch | Machine Learning Fundamentals | Hard | ||
| Custom Time-Split CV | Coding & Algorithms | Hard | ||
| Ring All-Reduce Complexity | Coding & Algorithms | Hard | ||
| The Closed-Loop Catastrophe | MLOps & Deployment | Medium | ||
| The Non-Smooth Sparse Step | Optimization & Numerical Methods | Hard | ||
| Resetting the Running Total | SQL & Data Manipulation | Medium | ||
| The Extra CI Dimension | MLOps & Deployment | Medium | ||
| Hindsight is Twenty Twenty | Reinforcement Learning | Medium | ||
| Max Tokens Won't Save You | Generative AI & Large Language Models | Easy | ||
| The Right-Censorship Trap | Feature Engineering | Hard | ||
| The Self-Fulfilling Feature | Feature Engineering | Medium | ||
| The Multi-Tenant Menace | ML System Design | Hard | ||
| The Memory Creep | MLOps & Deployment | Medium | ||
| The Variance Trap | Feature Engineering | Medium |
