Learning Techniques

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• 14 Different Types of Learning in Machine Learning | Jason Brownlee - Machine Learning Mastery
• Natural Language

Learning Problems: three main types of learning problems in machine learning

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning (RL)

Hybrid Learning Problems: The lines between unsupervised and supervised learning is blurry, and there are many hybrid approaches that draw from each field of study.

• Semi-Supervised Learning
• Self-Supervised Learning
• Multi-Instance Learning

Statistical Inference: Inference refers to reaching an outcome or decision. In machine learning, fitting a model and making a prediction are both types of inference. There are different paradigms for inference that may be used as a framework for understanding how some machine learning algorithms work or how some learning problems may be approached.

• Inductive Learning
• Deductive Inference
• Transductive Learning

Other types of Learning Techniques:

• Active Learning
• Online Learning
• Text Transfer Learning
• Image/Video Transfer Learning
• Few Shot Learning
• Transfer Learning a model trained on one task is re-purposed on a second related task
• Ensemble Learning
• Multi-Task Learning (MTL)
• Apprenticeship Learning - Inverse Reinforcement Learning (IRL)
• Imitation Learning
• Simulated Environment Learning
• Lifelong Learning - Catastrophic Forgetting Challenge