BSCS2007 · Knowledge Base
Ml Techniques Notes
10
Concepts
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Facts
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Procedures
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478 - ML Techniques- Course Overview
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479 - Regularization Theory
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480 - Naive Bayes Classifier
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481 - Neural Networks- Perceptron to MLP
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482 - Kernel Methods
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483 - Time Series Analysis & ARIMA
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484 - Anomaly Detection
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485 - Semi-supervised & Self-supervised Learning
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486 - ML System Design
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