Difference between revisions of "Learning Techniques"
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** [http://en.wikipedia.org/wiki/Transduction_(machine_learning) Transductive Learning | Wikipedia] | ** [http://en.wikipedia.org/wiki/Transduction_(machine_learning) Transductive Learning | Wikipedia] | ||
* [[PRIMO.ai#Self-Supervised|Self-Supervised Learning]] | * [[PRIMO.ai#Self-Supervised|Self-Supervised Learning]] | ||
− | * [http://en.wikipedia.org/wiki/Multiple_instance_learning Multi-Instance Learning] | + | * [http://en.wikipedia.org/wiki/Multiple_instance_learning Multi-Instance Learning | Wikipedia] |
<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"> |
Revision as of 14:16, 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