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

My lesson

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