Difference between revisions of "Learning Techniques"
m |
m |
||
| Line 47: | Line 47: | ||
* [[Human-in-the-Loop (HITL) Learning]] / Active Learning | * [[Human-in-the-Loop (HITL) Learning]] / Active Learning | ||
* [[Decentralized: Federated & Distributed]] Learning | * [[Decentralized: Federated & Distributed]] Learning | ||
| + | * [[Embodied AI| Interactive Learning ... Embodied AI]] | ||
Revision as of 08:51, 20 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 ... Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
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
- 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
- Interactive Learning ... Embodied AI
