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Introduction 2. Probability and stochastic Processes 3. Stochastic Gradient Descent: the LMS Algorithm and its Family 6. The Least-Squares Family 7. Classification: A Tour of the Classics 8. Sparsity-Aware Learning: Concepts and Theoretical Foundations 10.
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