Difference between revisions of "Learning Techniques"
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<img src="https://3qeqpr26caki16dnhd19sv6by6v-wpengine.netdna-ssl.com/wp-content/uploads/2019/09/Relationship-between-Induction-Deduction-and-Transduction.png" width="600" height="500"> | <img src="https://3qeqpr26caki16dnhd19sv6by6v-wpengine.netdna-ssl.com/wp-content/uploads/2019/09/Relationship-between-Induction-Deduction-and-Transduction.png" width="600" height="500"> | ||
| − | <b>Other | + | <b>Other Techniques:</b> |
| + | * [[Deep Learning]] | ||
* [[Transfer Learning]] a model trained on one task is re-purposed on a second related task | * [[Transfer Learning]] a model trained on one task is re-purposed on a second related task | ||
** [[Text Transfer Learning]] | ** [[Text Transfer Learning]] | ||
Revision as of 08:44, 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 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
- Federated Learning
- Distributed Learning
