second-brain

Un grafo de conocimiento local-first: nodos en Markdown con aristas tipadas, derivado a build time. Este jardín es el mismo grafo — cada nota enlaza a lo que requiere, lo que implementa, y lo que cita; lee en orden como curriculum o salta entre conceptos.

211 nodos · 9 proyectos · 32 dominados · 2840h registradas

Cómo leerlo

  • Por rutas (tracks): cada sección abajo es un track del curriculum.
  • Por saltos: cada nota termina con sus Enlaces (aristas tipadas) y Quartz agrega backlinks y el grafo en 3D.
  • Estado: ○ unseen · ◐ learning · ◑ applying · ● mastered.

Rutas

Foundations

Backpropagation · Bayes’ Theorem · Calculus · Discrete Mathematics · Eigendecomposition · Gradient Descent · Gradient, Jacobian, Hessian · Linear Algebra · Ordinary Differential Equations · Probability · Singular Value Decomposition

Programming & Data

Data Structures & Algorithms · NumPy · pandas · Python · SQL

Statistics & Experimentation

B Testing · Central Limit Theorem · Central Tendency · Correlation Analysis · Delta Method · Distribution Shape · Econometrics · Hypothesis Testing · Improving Sensitivity (CUPED) · Minimum Detectable Effect · Ratio Metrics · Statistical Power · Statistics · Time Series

Machine Learning

Autoencoders · Confusion Matrix · Cross-Validation · Data Cleaning · Decision Trees · Dimensionality Reduction · Ensemble Methods · Feature Engineering · Feature Scaling · Feature Selection · Gradient Boosting · Hyperparameter Tuning · K-Means Clustering · K-Nearest Neighbors · Linear Regression · Logistic Regression · Model Evaluation · Model Selection · Polynomial Regression · Precision, Recall & F1 · Predictive Analytics · Prescriptive Analytics · Principal Component Analysis · Random Forest · Recommendation Systems · Regularization · Reinforcement Learning · ROC-AUC · scikit-learn · Self-Supervised Learning · Supervised Learning · Support Vector Machine · Unsupervised Learning

Deep Learning

Activation Functions · Attention · Convolution · Convolutional Neural Network · Deep Q-Network · Fine-tuning · Forward Propagation · Generative Adversarial Network · Image Classification · Image Segmentation · ImageNet · Keras · Loss Functions · LSTM · Multi-Head Attention · Multilayer Perceptron · Neural Network · Perceptron · Pooling · PyTorch · Recurrent Neural Network · Self-Attention · TensorFlow · Transfer Learning · Transformer · Video Recognition

NLP & Transformers

Attention Is All You Need · Embeddings · Large Language Models · Lemmatization · Natural Language Processing · Retrieval-Augmented Generation · Stemming · Tokenization · Vector Database · Word Embeddings

Reinforcement Learning

Actor-Critic Methods · Policy Gradient · Q-Learning

Data Engineering

Apache Airflow · Apache Kafka · Apache Spark · Batch Processing · Data Modeling · Data Warehouse · dbt · Descriptive Analytics · Diagnostic Analytics · dplyr · ELT · Stream Processing · Web Scraping

Systems & MLOps

CAP Theorem · CD · Distributed Systems · Docker · Kubernetes · MLOps · Model Deployment

AI Systems

Agentic AI · Agentic Commerce · AI Agents · Embodied AI · AEO · Prompt Engineering · RAG Reranker Recall Experiment

AI & Cybersecurity

Adversarial Attacks · Agentic AI Security · AI Red Teaming · AI Red Teaming · AI Security · AI Security Governance · Anomaly Detection · Data Poisoning · DefenseClaw · Detection Engineering · Identity & Access Management · OpenAnt · Prompt Injection · Promptfoo · PyRIT · Security Operations Center · Threat Intelligence

Responsible AI

AI Fairness 360 · Algorithmic Auditing · Barocas et al. — Fairness and ML · Bias Mitigation · Datasheets for Datasets · Fairlearn · Fairness in ML · Gebru et al. (2021) — Datasheets · Mitchell et al. (2019) — Model Cards · Model Cards

Strategy & Time Management

Commons Governance · Digital Dispossession · Evidence Log · First-Party Data · Late Capitalism · 4C) · Technological Sovereignty · Three Clocks · Time Boxing · Unipolar to Multiplex · Work Slots

Graph & Network Science

Graph Theory · Network Science

Computational Neuroscience

Action Potential (Spike) · AdEx Neuron · Bellec et al. (2020) — e-prop · Brain-Computer Interface · Computational Neuroscience · e-prop · Energy Efficiency of AI · Event-Based Vision · Hodgkin & Huxley (1952) · Hodgkin-Huxley Model · Intel Loihi 2 · Izhikevich Neuron · Leaky Integrate-and-Fire (LIF) · Membrane Potential · Neftci et al. (2019) — Surrogate Gradients · Neuromorphic Computing · snnTorch · Sparse Computation · Spiking Neural Network (SNN) · STDP · Surrogate Gradient Learning · Synaptic Conductance

Connectomics

Connectome-Constrained Network · Connectomics · Dorkenwald et al. (2024) — FlyWire · Electron Microscopy · FlyWire Connectome · Hybrid Neuro Architecture · Neuron Segmentation · Synapse Detection

Concurrent Systems (BEAM)

Actor Model · Backpressure · BEAM VM · Elixir · ETS · GenServer

References

Ashish Vaswani · ggplot2 · Matplotlib · Seaborn · Tableau · Wulfram Gerstner


Proyectos

Los proyectos otorgan niveles efectivos a sus nodos cuando se entregan.

  • B Testing Harness — Experiment platform with CUPED variance reduction and guarded ratio metrics.
  • AI Model Security & Fairness Audit — A portfolio project: red-team a public model for prompt injection and adversarial robustness, then audit it for bias — producing a model card and an audit report.
  • Batch + Streaming Data Platform — Ingestion (Kafka), batch compute (Spark), warehouse transforms (dbt), all orchestrated by Airflow.
  • Connectomics Demo (Elixir + Python) — A hybrid prototype: Elixir orchestrates a sparse connectome (ETS, routing, backpressure) while Python vectorises AdEx neuron updates, bridged over Erlang Ports.
  • Image Classifier Service — A CNN image classifier trained on ImageNet-style data, containerised and served behind an API.
  • Maestría Prep — Connectomics + Biological ML — A two-year self-study plan toward a UNAM master’s on connectome-constrained spiking networks: computational neuroscience, SNNs, graph/network science, and biologically plausible learning.
  • Open Intelligence Stack — A local-first retrieval + generation stack: embeddings, vector search, transformer generation, and an evaluation harness.
  • RL Gridworld Agent — A planned reinforcement-learning agent (Q-learning → DQN) on a gridworld, to build RL intuition before applying it to RLHF.
  • sin.tesises — Simulación que contrasta la tesis del capitalismo tardío con el fin del mundo unipolar, usando el ascenso tecnológico chino como caso de estudio — síntesis que se resiste a ser una sola tesis.

Documentos

Generado desde el grafo el 2026-09-01.