Learning Techniques

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• Artificial Intelligence (AI) ... Machine Learning (ML) ... Deep Learning ... Neural Network ...Learning Techniques
• 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery
• Multimodal Machine Learning ... Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services

Core: four main types of learning problems in machine learning

• In-Context Learning (ICL) ... LLMs understand to encode learning algorithms implicitly during their training processes ... Context
• Supervised Learning
  • Deductive Inference | Wikipedia
• Unsupervised Learning
• Reinforcement Learning (RL)

Hybrid: drawing from unsupervised and supervised learning

• Semi-Supervised Learning
  • Inductive Learning | Wikipedia
  • Transductive Learning | Wikipedia
• Self-Supervised Learning
• Multi-Instance Learning | Wikipedia

Other Techniques:

• Deep Learning
• Transfer Learning a model trained on one task is re-purposed on a second related task
  • Text Transfer Learning
  • Image/Video Transfer Learning
• Few Shot Learning
• Ensemble Learning
• Multi-Task Learning (MTL)
• Apprenticeship Learning - Inverse Reinforcement Learning (IRL)
• Imitation Learning
• Simulated Environment Learning
• Lifelong Learning - Catastrophic Forgetting Challenge
• Neural Structured Learning (NSL)
• Meta-Learning
• Online Learning
• Human-in-the-Loop (HITL) Learning / Active Learning
• Decentralized: Federated & Distributed Learning
• Interactive Learning ... Embodied AI