Ranked from CortexLab’s local platform index and published content.
Bandits
Learn which action performs best while continuing controlled exploration.
Q-learning
Learn action values off-policy from temporal-difference targets.
TD learning
Build a working mental model of TD learning then connect it to implementation evaluation and production trade-offs.
SQL
Query relational data accurately and reason about joins, grouping and performance.
Classification
Estimate class labels or probabilities and choose thresholds from real error costs.
Ensembles
Combine multiple weak or diverse learners to reduce error.
Embeddings
Represent items as dense vectors so semantic similarity can be measured.
SQL
Query relational data accurately and reason about joins, grouping and performance.
MLP
Build feed-forward neural networks and understand optimization behavior.
CNN
Learn local spatial patterns with shared convolutional filters.
Attention
Let a model dynamically weight which context elements matter for each representation.