Machine Learning

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Notes

Key Machine Learning Concepts

Machine learning is a field focused on enabling computers to learn from data without being explicitly programmed. Here are some key concepts:

Supervised Learning

Training models on labeled data to make predictions or classifications.

Unsupervised Learning

Training models on unlabeled data to discover patterns and relationships.

Reinforcement Learning

Training models to make decisions based on rewards and penalties.

Model Evaluation

Assessing the performance of machine learning models using appropriate metrics.

Feature Selection

Selecting the most relevant features to improve model performance and reduce complexity.

Hyperparameter Tuning

Optimizing model parameters to achieve the best possible performance.

These concepts are fundamental to understanding and applying machine learning techniques.

Learn more in Google's Machine Learning Crash Course
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