Difference between revisions of "Learning Techniques"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=Advanced+Learning+Model+deep+machine+ML YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=Advanced+Learning+Model+deep+machine+ML ...Google search] |
| − | * [ | + | * [https://machinelearningmastery.com/types-of-learning-in-machine-learning/ 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery] |
* [[PRIMO.ai#Natural Language|Natural Language]] | * [[PRIMO.ai#Natural Language|Natural Language]] | ||
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<b>Core:</b> three main types of learning problems in machine learning | <b>Core:</b> three main types of learning problems in machine learning | ||
* [[PRIMO.ai#Supervised|Supervised Learning]] | * [[PRIMO.ai#Supervised|Supervised Learning]] | ||
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Deductive_classifier Deductive Inference | Wikipedia] |
* [[PRIMO.ai#Unsupervised|Unsupervised Learning]] | * [[PRIMO.ai#Unsupervised|Unsupervised Learning]] | ||
* [[PRIMO.ai#Reinforcement Learning (RL)|Reinforcement Learning (RL)]] | * [[PRIMO.ai#Reinforcement Learning (RL)|Reinforcement Learning (RL)]] | ||
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<b>Hybrid:</b> drawing from unsupervised and supervised learning | <b>Hybrid:</b> drawing from unsupervised and supervised learning | ||
* [[PRIMO.ai#Semi-Supervised|Semi-Supervised Learning]] | * [[PRIMO.ai#Semi-Supervised|Semi-Supervised Learning]] | ||
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Inductive_reasoning Inductive Learning | Wikipedia] |
| − | ** [ | + | ** [https://en.wikipedia.org/wiki/Transduction_(machine_learning) Transductive Learning | Wikipedia] |
* [[PRIMO.ai#Self-Supervised|Self-Supervised Learning]] | * [[PRIMO.ai#Self-Supervised|Self-Supervised Learning]] | ||
| − | * [ | + | * [https://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 21:29, 28 March 2023
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
