Difference between revisions of "Learning Techniques"
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* [[PRIMO.ai#Supervised|Supervised Learning]] | * [[PRIMO.ai#Supervised|Supervised Learning]] | ||
* [[PRIMO.ai#Unsupervised|Unsupervised Learning]] | * [[PRIMO.ai#Unsupervised|Unsupervised Learning]] | ||
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* [[PRIMO.ai#Semi-Supervised|Semi-Supervised Learning]] | * [[PRIMO.ai#Semi-Supervised|Semi-Supervised Learning]] | ||
* [[PRIMO.ai#Self-Supervised|Self-Supervised Learning]] | * [[PRIMO.ai#Self-Supervised|Self-Supervised Learning]] | ||
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* [[Active Learning]] | * [[Active Learning]] | ||
* [[Online Learning]] | * [[Online Learning]] | ||
Revision as of 13:05, 8 December 2019
YouTube search... ...Google search
- 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery
- Natural Language
Learning Problems:
Hybrid Learning Problems:
Statistical Inference:
Inference refers to reaching an outcome or decision. In machine learning, fitting a model and making a prediction are both types of inference. There are different paradigms for inference that may be used as a framework for understanding how some machine learning algorithms work or how some learning problems may be approached.
- Inductive Learning
- Deductive Inference
- Transductive Learning
Learning Techniques:
- Active Learning
- Online Learning
- Text Transfer Learning
- Image/Video Transfer Learning
- Few Shot Learning
- Transfer Learning a model trained on one task is re-purposed on a second related task
- Ensemble Learning
- Multi-Task Learning (MTL)
- Apprenticeship Learning - Inverse Reinforcement Learning (IRL)
- Imitation Learning
- Simulated Environment Learning
- Lifelong Learning - Catastrophic Forgetting Challenge
