CortexLab discovery engine

Search across the knowledge system.

One query can surface Academy lessons, model dossiers, projects, innovations, research and published articles.

40 results

Ranked from CortexLab’s local platform index and published content.

01
track

Reinforcement Learning & Decision Systems

Learn MDPs, value methods, policy learning and safe decision optimization.

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02
model

Q-Learning

An off-policy temporal-difference method that learns action values from reward transitions.

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03
track

Deep Learning Systems

Understand neural networks from optimization to deployment and monitoring.

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04
lesson

Q-learning

Learn action values off-policy from temporal-difference targets.

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05
model

Contextual Bandit

Chooses among actions using context while learning from immediate reward.

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06
project

Game-Based Learning Engine

A technical game platform where challenge selection responds to mastery, error patterns and pace rather than using empty engagement mechanics.

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07
track

Machine Learning Core

Move from intuition to evaluated supervised and unsupervised learning systems.

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08
lesson

TD learning

Build a working mental model of TD learning then connect it to implementation evaluation and production trade-offs.

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09
lesson

System design

Build a working mental model of System design then connect it to implementation evaluation and production trade-offs.

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10
lesson

Experiment design

Turn a vague idea into a falsifiable test with a baseline and explicit evidence standard.

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11
innovation

Knowledge Graph Learning

Connects topics, prerequisites, projects, innovations, blog posts and interview concepts so Cortex can explain relationships and learning paths.

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12
research

Human-in-the-loop learning

Corrections become candidates with provenance and review rather than instant truth.

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13
project

Hybrid Recommendation Engine

A recommendation stack combining content similarity, behavioral events, skill gaps and exploration so learning recommendations remain useful even during cold start.

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14
lesson

Bandits

Learn which action performs best while continuing controlled exploration.

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15
track

AI Engineering Foundations

Build the software and data foundations required before adding advanced AI components.

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16
track

NLP & Retrieval Engineering

Build search and language systems from deterministic NLP to semantic retrieval.

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17
track

LLM & Agent Architecture

Study modern agent patterns without hiding engineering behind API calls.

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18
track

MLOps & Production AI

Turn models into observable, versioned and maintainable production systems.

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19
track

AI / ML Interview Mastery

Combine deep question banks with adaptive review and engineering explanation practice.

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20
track

SEO Intelligence Engineering

Treat SEO as an experimentation and information-quality problem instead of keyword stuffing.

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21
track

Full-Stack AI Product Engineering

Connect UI, APIs, databases, analytics and models into coherent products.

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22
track

Research Engineering

Convert ideas into falsifiable experiments with baselines, controls and reproducibility.

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23
model

Multilayer Perceptron

A stack of learned affine transformations and nonlinearities that approximates complex functions.

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24
model

BM25

A strong lexical ranking algorithm balancing term frequency, rarity and document length.

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25
model

Thompson Sampling

Samples action quality from posterior beliefs to balance exploration and exploitation.

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26
model

Graph Neural Network

Learns node/edge representations by passing messages across graph neighborhoods.

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27
project

SEO Experiment Platform

A controlled optimization platform for titles, metadata, internal links and content refresh decisions using editorial guardrails and bandit-style experimentation.

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28
lesson

APIs

Design stable service boundaries for data and model capabilities.

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29
lesson

PostgreSQL

Design relational storage with constraints indexes and transactional behavior.

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30
innovation

MDP Response Orchestrator

Models response generation strategy as a decision process where intent, complexity, knowledge confidence and conversation state form the state representation.

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31
innovation

Adaptive Difficulty Controller

Chooses challenge difficulty from recent correctness, response time, hint usage and mastery estimates to maintain productive difficulty.

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32
tool

Prompt Lab

Design evaluate and compare technical prompts with explicit constraints.

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33
tool

Adaptive Interview Engine

Practice technical interviews with adaptive question selection and weak-topic review.

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34
research

Owned intelligence

Build inspectable local NLP, retrieval, routing and learning components before depending on remote black boxes.

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35
research

Product intelligence

Combine learning, analytics, personalization and automation into a coherent user experience.

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36
model

Markov Decision Process

A formal model of states, actions, transition probabilities, rewards and discounting.

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37
lesson

MDPs

Model sequential decisions with states, actions, transitions, rewards and discounting.

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38
model

Logistic Regression

A probabilistic classification baseline that is transparent, fast and surprisingly competitive.

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39
project

Cortex Local Intelligence Engine

The local NLP, retrieval, confidence, MDP-state and reinforcement-feedback engine powering Ask Cortex without an external generative-model API.

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40
lesson

MLP

Build feed-forward neural networks and understand optimization behavior.

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