Gracias por enviar su consulta! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Gracias por enviar su reserva! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Programa del Curso
Introduction to ML in Financial Services
- Overview of common financial ML use cases
- Benefits and challenges of ML in regulated industries
- Azure Databricks ecosystem overview
Preparing Financial Data for ML
- Ingesting data from Azure Data Lake or databases
- Data cleaning, feature engineering, and transformation
- Exploratory data analysis (EDA) in notebooks
Training and Evaluating ML Models
- Splitting data and selecting ML algorithms
- Training regression and classification models
- Evaluating model performance with financial metrics
Model Management with MLflow
- Tracking experiments with parameters and metrics
- Saving, registering, and versioning models
- Reproducibility and comparison of model results
Deploying and Serving ML Models
- Packaging models for batch or real-time inference
- Serving models via REST APIs or Azure ML endpoints
- Integrating predictions into finance dashboards or alerts
Monitoring and Retraining Pipelines
- Scheduling periodic model retraining with new data
- Monitoring data drift and model accuracy
- Automating end-to-end workflows with Databricks Jobs
Use Case Walkthrough: Financial Risk Scoring
- Building a risk score model for loan or credit applications
- Explaining predictions for transparency and compliance
- Deploying and testing the model in a controlled setting
Summary and Next Steps
Requerimientos
- An understanding of basic machine learning concepts
- Experience with Python and data analysis
- Familiarity with financial datasets or reporting
Audience
- Data scientists and ML engineers in financial services
- Data analysts transitioning to ML roles
- Technology professionals implementing predictive solutions in finance
7 Horas
Testimonios (1)
Todos los temas que abarca, aunque muchos fueron muy rápidos, nos da una idea de lo que necesitaremos ahondar. Además me gustó que pudimos hacer practicas, aunque insisto, creo que el curso amerita mas.
