Technical empowerment
The student begins working with real data science and advanced security frameworks, moving from simply building applications to evaluating intelligent systems and designing robust software architectures.
Browse inside the book
Introduction to the book
Learning outcomes
Data engineering
Design and implementation of structured backend applications (CRUD systems) and build simple APIs
fairness of algorithms
Model bias analysis and principles of fairness between different groups in artificial intelligence
Secure access systems
Implementing role-based access control systems to protect systems
AI assessment
Applying cross-validation and comparing performance metrics (such as accuracy and recall)
