Franklin Moormann comments

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                                            Franklin Moormann

[Phase 3] Implement Continual Learning and Active Learning

# Issue #419: Junior Developer Implementation Guide ## Understanding Continual Learning and Active Learning **Goal**: Enable models to learn continuously from new data without forgetting old knowledge (continual learning) and...

[Phase 2 Parity] Implement Modern Dimensionality Reduction Algorithms

# Issue #383: Implement Modern Dimensionality Reduction Algorithms ## Junior Developer Implementation Guide **For**: Developers new to dimensionality reduction and manifold learning **Difficulty**: Advanced **Estimated Time**: 40-50 hours **Prerequisites**: Linear...

[Phase 2 Parity] Implement Comprehensive Classification Metrics

# Issue #391: Junior Developer Implementation Guide - Imbalanced Learning ## Understanding Imbalanced Learning ### What is Class Imbalance? Class imbalance occurs when the distribution of classes in your dataset...

[Phase 3] Implement Uncertainty Quantification and Bayesian Neural Networks

# Issue #418: Junior Developer Implementation Guide ## Understanding Uncertainty Quantification and Bayesian Neural Networks **Goal**: Implement methods to quantify how confident the model is about its predictions, critical for...

[Test Coverage] Implement Tests for Distribution-Based Loss Functions

# Junior Developer Implementation Guide: Issue #377 ## Overview **Issue**: Distribution-Based Loss Functions Unit Tests **Goal**: Create comprehensive unit tests for distribution and statistical FitnessCalculators **Difficulty**: Intermediate-Advanced **Estimated Time**: 5-7...

[Phase 2 Parity] Implement AdamW and Learning Rate Schedulers

# Issue #388: Junior Developer Implementation Guide - Advanced Preprocessing (Scalers) ## Understanding Data Preprocessing and Scaling ### What is Data Scaling? Data scaling transforms features to a common scale...

[Phase 3] Implement Audio AI and Music Information Retrieval

# Junior Developer Implementation Guide: Issue #396 ## Vision-Language Models (CLIP, BLIP, Flamingo) ### Overview This guide will walk you through implementing Vision-Language Models for AiDotNet. These models bridge the...

[Phase 3] Implement Generative Adversarial Networks GANs

# Issue #416: Junior Developer Implementation Guide ## Generative Adversarial Networks (GANs) --- ## Table of Contents 1. [Understanding GANs](#understanding-gans) 2. [Understanding GAN Training](#understanding-gan-training) 3. [GAN Architectures](#gan-architectures) 4. [Advanced GAN...

Fix Issue 412

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[Phase 2 Parity] Implement Naive Bayes Classifiers

# Junior Developer Implementation Guide: Issue #385 ## Overview **Issue**: Naive Bayes Classifiers **Goal**: Implement Naive Bayes classifiers (Gaussian, Multinomial, Bernoulli variants) **Difficulty**: Intermediate **Estimated Time**: 8-12 hours ## What...