Phase 3: Advanced ML pattern detection and training optimization

- Add DatasetPatternDetector with ML-specific dataset access pattern analysis
  * Sequential, shuffle, batch, multi-epoch, distributed, and validation patterns
  * Epoch boundary detection and dataset traversal analysis
  * Adaptive prefetch recommendations based on detected patterns
  * Comprehensive throughput and performance metrics

- Implement TrainingOptimizer for ML workload lifecycle management
  * Training phase detection (initialization, training, validation, checkpointing)
  * Model file access optimization with checkpoint frequency tracking
  * Training workload registration and multi-workload support
  * Adaptive optimization levels based on training phase and performance

- Create BatchOptimizer for intelligent batch access pattern optimization
  * Linear, strided, shuffled, hierarchical, multi-GPU, and pipelined batch patterns
  * Batch sequence detection with predictive next-batch recommendations
  * Configurable prefetch strategies per batch pattern type
  * Performance-aware optimization with hit rate tracking

- Enhance MLOptimization core integration
  * Unified interface integrating all Phase 1, 2, and 3 components
  * Coordinated shutdown and lifecycle management
  * Comprehensive metrics aggregation across all ML optimization layers

- Add Phase 3 comprehensive test coverage
  * Dataset pattern detection validation
  * Training optimizer workload management testing
  * Batch optimization pattern recognition testing
  * End-to-end ML optimization integration testing

Architecture Highlights:
- Clean separation of concerns with specialized detectors for different ML patterns
- Adaptive optimization that responds to detected training phases and patterns
- Scalable design supporting multiple concurrent training workloads
- Rich metrics and monitoring for all ML optimization components
- Production-ready with proper cleanup, timeouts, and resource management

Test Results: Core Phase 3 functionality verified and passing
Integration: Seamlessly builds upon Phase 1 prefetching and Phase 2 caching foundations

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