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Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning systems
Exploring Applications for AI
- AI in the corporate context
Learning About the Technology of AI
- Underfit and overfit, classification, and regularization
- Multi-layer perception (MLP) and deep learning
- Convolutional and recurrent neural networks
Assessing Strategic Approaches
- Commissioning or procurement (build or buy?)
- AI maturity models for your organization
Working With Data in Your Organization
- Data readiness evaluation
- Word embeddings
- Training with artificial data
Assessing AI Project Selection
- Key criteria for project selection
Managing an AI Project
- Machine learning versus deep learning
- Project management (lifecycle, timescales, methodology)
- Operations, maintenance, and risk management
Gathering Feedback
- Implementing feedback methods (surveys, interviews, etc.)
- Key stakeholders who will provide feedback
- Analyzing results
Summary and Conclusion
Requirements
- Familiarity with programming
- Basic understanding of algorithms
Audience
- Business leaders
- Project managers
Testimonials
Los ejemplos que nos ponía.
JONATHAN MARIANO, si
los experimentos
JONATHAN MARIANO, si
Los ejercicios y ejemplos expuestos.
Marcos - JONATHAN MARIANO, si
Los temas de Machine Lerning.
Víctor Edgar - JONATHAN MARIANO, si
La actitud del.profe
Ivonne Guadalupe Avendaño Hernandez - JONATHAN MARIANO, si
Los conceptos enseñados fueron claros, prácticos y ayudan mucho en hacerse una idea de como utilizar este tema de IA & ML
Miguel - JONATHAN MARIANO, si
La experiencia y conocimientos del instructor.
SERGIO BRAVO - JONATHAN MARIANO, si
Quizá algo de practica.
Hilario García - JONATHAN MARIANO, si
uno de las practicas
JONATHAN MARIANO, si
El conocimiento y manejo del tema del instructor
Zaira N. - JONATHAN MARIANO, si
lo innovador porque es algo que ya lo estamos viviendo.
jesus isaias - JONATHAN MARIANO, si
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