Difference between revisions of "Learning Techniques"
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* [[PRIMO.ai#Reinforcement Learning (RL)|Reinforcement Learning (RL)]] | * [[PRIMO.ai#Reinforcement Learning (RL)|Reinforcement Learning (RL)]] | ||
| − | <b>Hybrid:</b> | + | <b>Hybrid:</b> drawing from unsupervised and supervised learning |
* [[PRIMO.ai#Semi-Supervised|Semi-Supervised Learning]] | * [[PRIMO.ai#Semi-Supervised|Semi-Supervised Learning]] | ||
** [http://en.wikipedia.org/wiki/Inductive_reasoning Inductive Learning | Wikipedia] | ** [http://en.wikipedia.org/wiki/Inductive_reasoning Inductive Learning | Wikipedia] | ||
Revision as of 14:11, 8 December 2019
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- 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
- Active Learning
- Online Learning
