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Exploring Optimization Algorithms in Machine Learning: From Theory to Practice b
- Item No : 146437994379
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* Item Description
- Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Theoretical understanding encompasses concepts like convexity, convergence criteria, and adaptive learning rates, essential for algorithm selection based on dataset characteristics.
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