Difference between revisions of "Learning Techniques"
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* [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ...[[Learning Techniques]] | * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ...[[Learning Techniques]] | ||
* [https://machinelearningmastery.com/types-of-learning-in-machine-learning/ 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery] | * [https://machinelearningmastery.com/types-of-learning-in-machine-learning/ 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery] | ||
| − | * [[Large Language Model (LLM)#Multimodal|Multimodal Machine Learning | + | * [[Large Language Model (LLM)#Multimodal|Multimodal Machine Learning]] |
<b>Core:</b> four main types of learning problems in machine learning | <b>Core:</b> four main types of learning problems in machine learning | ||
Revision as of 21:16, 27 May 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- Artificial Intelligence (AI) ... Machine Learning (ML) ... Deep Learning ... Neural Network ...Learning Techniques
- 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery
- Multimodal Machine Learning
Core: four main types of learning problems in machine learning
- In-Context Learning (ICL) ... LLMs understand to encode learning algorithms implicitly during their training processes ... Context
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning (RL)
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 ... One-Shot Learning ... Zero-Shot Learning
- Ensemble Learning
- Multi-Task Learning (MTL)
- Apprenticeship Learning - Inverse Reinforcement Learning (IRL)
- Imitation 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
- Action Learning ... Embodied AI
- Simulated Environment Learning
