Difference between revisions of "Learning Techniques"
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* [[Decentralized: Federated & Distributed]] Learning | * [[Decentralized: Federated & Distributed]] Learning | ||
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Revision as of 11:34, 28 April 2023
YouTube search... ...Google search
- 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery
- Natural Language
- Machine Learning
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
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning (RL)
Hybrid: drawing from unsupervised and supervised learning
Other Techniques:
- Deep Learning
- Transfer Learning a model trained on one task is re-purposed on a second related task
- 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
