Difference between revisions of "Learning Techniques"
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[https://www.bing.com/news/search?q=ai+Advanced+Learning+Technique+Model&qft=interval%3d%228%22 ...Bing News] | [https://www.bing.com/news/search?q=ai+Advanced+Learning+Technique+Model&qft=interval%3d%228%22 ...Bing News] | ||
| − | * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]] | + | * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]] |
| + | * [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Grok]] | [https://x.ai/ xAI] ... [[Groq]] ... [[Ernie]] | [[Baidu]] ... [[DeepSeek]] | ||
* [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 | ||
| − | * [[In-Context Learning (ICL)]] ... [[ | + | * [[In-Context Learning (ICL)]] ... [[Context]] ... [[Causation vs. Correlation]] ... [[Autocorrelation]] ... [[Out-of-Distribution (OOD) Generalization]] ... [[Transfer Learning]] |
* [[PRIMO.ai#Supervised|Supervised Learning]] | * [[PRIMO.ai#Supervised|Supervised Learning]] | ||
** [https://en.wikipedia.org/wiki/Deductive_classifier Deductive Inference | Wikipedia] | ** [https://en.wikipedia.org/wiki/Deductive_classifier Deductive Inference | Wikipedia] | ||
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* [[Multi-Task Learning (MTL)]] | * [[Multi-Task Learning (MTL)]] | ||
* [[Apprenticeship Learning - Inverse Reinforcement Learning (IRL)]] | * [[Apprenticeship Learning - Inverse Reinforcement Learning (IRL)]] | ||
| − | * [[Imitation Learning]] | + | * [[Imitation Learning (IL)]] |
* [[Lifelong Learning]] - Catastrophic Forgetting Challenge | * [[Lifelong Learning]] - Catastrophic Forgetting Challenge | ||
* [[Neural Structured Learning (NSL)]] | * [[Neural Structured Learning (NSL)]] | ||
Latest revision as of 05:58, 30 January 2025
YouTube ... Quora ...Google search ...Google News ...Bing News
- Artificial Intelligence (AI) ... Generative AI ... Machine Learning (ML) ... Deep Learning ... Neural Network ... Reinforcement ... Learning Techniques
- Conversational AI ... ChatGPT | OpenAI ... Bing/Copilot | Microsoft ... Gemini | Google ... Claude | Anthropic ... Perplexity ... You ... phind ... Grok | xAI ... Groq ... Ernie | Baidu ... DeepSeek
- 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) ... Context ... Causation vs. Correlation ... Autocorrelation ... Out-of-Distribution (OOD) Generalization ... Transfer Learning
- 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 (IL)
- 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
