Difference between revisions of "Learning Techniques"
m |
m |
||
| Line 43: | Line 43: | ||
* [[Online Learning]] | * [[Online Learning]] | ||
* [[Human-in-the-Loop (HITL) Learning]] / Active Learning | * [[Human-in-the-Loop (HITL) Learning]] / Active Learning | ||
| − | * [[Federated | + | * [[Decentralized: Federated & Distributed]] Learning |
| − | |||
Revision as of 11:53, 26 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 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