ULPGC - Fundamentos de los Sistemas Inteligentes (Search Methods - TensorFlow - QLearning)
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Updated
May 15, 2017 - Python
ULPGC - Fundamentos de los Sistemas Inteligentes (Search Methods - TensorFlow - QLearning)
How to replace classical POD+I to do Real Time Aeroelasticity
Mapping, Radial Basis Function, RBF, FSI
Example scripts for the Python scripting API of the SimVascular FSI simulation tool wrote during Summer 2019 and Summer 2020 internships @ Stanford CBCL.
An inexpensive, autonomous, regolith-mining robot
Stl/meshes for my real world sim. projects
Preempt fraud with rule-based patterns and select ML algorithms for reliable fraud detection. Use anomaly detection and fraud prediction to respond to bad actors rapidly.
AML Solutions at Scale Using Databricks Lakehouse Platform
Drawing a Company Ecosystem Graph
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases
Use Databricks to improve the Claims Management process for faster claims settlement, lower claims processing costs and quicker identification of possible fraud
By applying transfer learning on pre-trained neural networks, we demonstrate how Databricks helps insurance companies kickstart their AI/Computer Vision journey towards claim assessment and damage estimation.
Using Apache tika and tesseract to extact text from any document
In this series of notebooks centered around geospatial analytics, we demonstrate how Lakehouse enables organizations to better understand customers behaviours, no longer based on who they are, but how they bank, no longer using a one-size-fits-all rule but a truly personalized AI
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