Difference between revisions of "Learning Techniques"
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* [[Simulated Environment Learning]] | * [[Simulated Environment Learning]] | ||
* [[Lifelong Learning]] - Catastrophic Forgetting Challenge | * [[Lifelong Learning]] - Catastrophic Forgetting Challenge | ||
| + | * [[Neural Structured Learning (NSL)]] | ||
| + | * [[Meta-Learning]] | ||
* [[Online Learning]] | * [[Online Learning]] | ||
| − | + | * [[Human-in-the-Loop (HITL) Learning]] / Active Learning | |
| − | * [[Human-in-the-Loop (HITL) Learning]] | + | * [[Federated]] Learning |
| + | * [[Distributed]] Learning | ||
Revision as of 07:13, 25 September 2020
YouTube search... ...Google search
- 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery
- Natural Language
Core: three main types of learning problems in machine learning
Hybrid: drawing from unsupervised and supervised learning
Other types of Learning Techniques:
- 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
- Federated Learning
- Distributed Learning
