What is a graph and how is it represented for neural networks (adjacency matrix, edge list)?
Middle — Senior
193
Machine Learning / AI
3617
0
What is LambdaRank?
Middle — Senior
192
What is unsupervised learning and what models are used?
Middle — Senior
192
What is differential privacy and DP-SGD?
Middle — Senior
192
What is the difference between gradient boosting and random forest?
Middle — Senior
190
How to add a new data source with a short history to logistic regression?
Middle — Senior
189
How does p-value relate observed data to the null hypothesis?
Middle — Senior
188
What are parametric and non-parametric statistical tests?
Middle — Senior
183
How to organize a control group (mock) in risk models?
Middle — Senior
181
What is gradient boosting?
Middle — Senior
179
How to evaluate the quality of a model using ROC AUC and what do good and bad scores mean?
175
What is an autoencoder for anomaly detection and how to calculate reconstruction error?
Middle — Senior
175
What is RoPE (rotary positional embeddings) and what are its advantages?
Middle — Senior
175
How to avoid sampling bias when training a model on approved credits?
Middle — Senior
174
What is GCN (Graph Convolutional Network) and its update formula?
Middle — Senior
174
What is pivoted normalization?
172
What metrics are used for regression?
171
What is pairwise preference and how to calculate it?
171
What is FSDP (Fully Sharded Data Parallel)?
171
What is Twyman's law and how to oppose it?
Middle — Senior
170