Deep representation learning systems designer to knowledge modeling through a machine learning approach based on data information. Currently focused on research, development, and implementation of cognitive processing, a.k.a. artificial intelligence, based on System 1 and System 2 using deep neural network architectures.
Doctoral candidate in the Geospatial Intelligence and Computing Lab@UPIITA-IPN. Data Science and Applied Mathematics and Computing Professor@FES-Acatlán-UNAM.
Recently... Data Scientist Expert@BBVA-CoE Financial Data.
Jacobo León @jacoboggleon
🎰Deep-Learning-focused Data Scientist🧠
Agenda:
Data-System Science approach in the AI era: Towards a Unifying Framework (González-León et. al., 2024)
Three-dimensional Knowledge Discovery (González-León et. al., 2024)
Information Granules Synthesis from Geographical Tabular Data by Learning Disentangled Representations (González-León et al., 2024)
Human Domain Card
Machine Domain Card
Multi-task Regressor
\(f_{i}: x → \hat{y}_i\)
Product Evidence
Human Domain Card
Machine Domain Card
Product Evidence
Human Domain Card
Machine Domain Card
Product Evidence
Single-task Representation Learning
\(f: x → z, g: z → \hat{y}\)
\(f ○ g: x → z → \hat{y}\)
K-medoids
\(\psi: z→ \hat{\mu}\)
Souce Data System
(2025)
Knowledge Discovery System
(2026)
Data-Systems Science Process
(2027)
Information Learning Sytem (2024)
DL Architectures for Data-Science Systems
(2029)
DL Regularization for Data-Science Systems
(2028)