Supervised Learning, Training a model on labeled data to make predictions
Unsupervised Learning, Training a model on unlabeled data to discover patterns
Reinforcement Learning, Training a model to take actions for maximum reward
Supervised vs Unsupervised Learning, Supervised uses labeled data, unsupervised uses unlabeled data
Supervised vs Reinforcement Learning, Supervised uses labeled data, reinforcement uses trial and error
Unsupervised vs Reinforcement Learning, Unsupervised uses unlabeled data, reinforcement uses trial and error
Types of Machine Learning, Supervised, unsupervised, reinforcement
"Ground Truth", Correct output for a given input in machine learning
Model Performance Evaluation, Comparing predictions to ground truth
Supervised Learning Applications, Image classification, natural language processing
Unsupervised Learning Applications, Clustering, anomaly detection
Reinforcement Learning Applications, Game playing, robot control
Input Data Structure, Supervised has labeled data, unsupervised has unlabeled data, reinforcement has no specific guidance
Labeled Data Requirements, Supervised requires labeled data, reinforcement does not
Unsupervised Learning Limitations, May not discover all patterns, may require human guidance
Reinforcement Learning Limitations, May require a lot of trial and error, may not be practical for all tasks
Machine Learning Suitability, Depends on problem and data available
Output Type Impact, Categorical or numerical output may affect choice of approach
Input Data Impact, Structured or unstructured data may affect choice of approach
Labeled Data Requirements, Supervised requires labeled data, unsupervised does not
Clear Objective Impact, Having a clear objective may affect choice of approach
Human Supervision Impact, Amount of required supervision may affect choice of approach
Model Provided with Correct Output, Supervised learning
Model Not Provided with Specific Instructions, Unsupervised learning
Model Learns through Trial and Error, Reinforcement learning
Supervised Learning Goal, Make predictions based on labeled data
Unsupervised Learning Goal, Discover patterns in unlabeled data
Reinforcement Learning Goal, Maximize reward through trial and error
Machine Learning to Group Similar Data, Unsupervised learning
Machine Learning to Optimize Performance Over Time, Reinforcement learning