3. MLPro-BF - Basic Functions

• 3.1. Overview
  • 3.1.1. The five-layer architecture
  • 3.1.2. How the layers work together
• 3.2. Layer 0 - Elementary functions
  • 3.2.1. Logging
  • 3.2.2. Time measurement
  • 3.2.3. Persistence
  • 3.2.4. Data management
  • 3.2.5. Plotting and visualization
  • 3.2.6. Scientific referencing
  • 3.2.7. User interaction
• 3.3. Layer 1 - Computation
  • 3.3.1. Event handling
  • 3.3.2. Multitasking
  • 3.3.3. Operations
• 3.4. Layer 2 - Mathematics
  • 3.4.1. Mathematical Foundations
  • 3.4.2. Higher-Level Mathematical Components
    • 3.4.2.1. Normalization
    • 3.4.2.2. Managed Properties
    • 3.4.2.3. Geometry
    • 3.4.2.4. Statistics and Boundaries
• 3.5. Layer 3 - Application support
  • 3.5.1. Data Stream Processing
    • 3.5.1.1. Overview
    • 3.5.1.2. Stream Handling and Processing
  • 3.5.2. Physics
    • 3.5.2.1. Transfer functions
    • 3.5.2.2. Unit converter
  • 3.5.3. State-based systems
    • 3.5.3.1. Overview
    • 3.5.3.2. System execution model
    • 3.5.3.3. Simulation, hardware, and composed systems
    • 3.5.3.4. Ready-to-use systems
  • 3.5.4. Closed-loop control
    • 3.5.4.1. Overview
    • 3.5.4.2. Basic control scenarios
    • 3.5.4.3. Ready-to-use building blocks
    • 3.5.4.4. How-Tos and API
• 3.6. Layer 4 - Machine Learning
  • 3.6.1. Why a machine-learning foundation already at BF level?
  • 3.6.2. Overview
    • 3.6.2.1. Adaptive models
    • 3.6.2.2. Machine Learning Scenarios
    • 3.6.2.3. Training and Hyperparameter Tuning
  • 3.6.3. Advanced Topics
    • 3.6.3.1. Adaptive Workflows
    • 3.6.3.2. Adaptive Functions
    • 3.6.3.3. Adaptive Systems