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- Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
- Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
- Business Case Analysis with R: Simulation Tutorials to Support Complex Business Decisions
- Creating Maintainable APIs: A Practical, Case-Study Approach
- Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry
- Design Science Research. Cases
- Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases
- Getting Started with Open Source Technologies Applying Open Source Technologies: with Projects and Real Use Cases
- Hands On Google Cloud SQL and Cloud Spanner: Deployment, Administration and Use Cases with Python
- Infrastructure Software Modules for Enterprises: Flexible Software Systems, Module Use-Cases, and Wireframes
- Knowledge Management in Digital Change: New Findings and Practical Cases
- Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance
- Machine Learning Using R With Time Series and Industry-Based Use Cases in R
- Métodos numéricos aplicados a ingeniería: casos de estudio en ingeniería de procesos usando MATLAB
- Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations
- Numerical C: Applied Computational Programming with Case Studies
- Practical hapi: Build Your Own hapi Apps and Learn from Industry Case Studies
- Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
- Rolling Out 5G: Use Cases, Applications, and Technology Solutions
- Shaping the Digital Enterprise Trends and Use Cases in Digital Innovation and Transformation
- Understanding Artificial Intelligence: Fundamentals, Use Cases and Methods for a Corporate AI Journey
- Harvard Business Publishing Education
HBP es una corporación independiente sin fines de lucro afiliada a Harvard Business School. El material —que incluye casos, simulaciones, artículos, libros y capítulos de libro— será identificado por el coordinador o docente de una asignatura en https://hbsp.harvard.edu/home/ Luego, deberá ser solicitado a los siguientes correos: Casos, artículos y libros: vguzman@ulima.edu.pe Simulaciones: jpintado@ulima.edu.pe. Se debe indicar el número de estudiantes matriculados, con el fin de que la Biblioteca asigne las licencias de uso respectivas, como parte del contrato suscrito por nuestra Universidad con Harvard Business Publishing Education.
Universidad de Lima