<p>Learn to use adaptive algorithms to solve real-world streaming data 
problems. This book covers a multitude of data processing challenges, 
ranging from the simple to the complex. At each step, you will gain 
insight into real-world use cases, find solutions, explore code used to 
solve these problems, and create new algorithms for your own use.<br><br>What You Will Learn</p>* Apply adaptive algorithms to practical applications and examples<ul><li>* Understand the relevant data representation features and computational models for time-varying multi-dimensional data</li><li>* Derive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real data</li><li>* Speed up your algorithms and put them to use on real-world stationary and non-stationary data</li><li>* Master the applications of adaptive algorithms on critical edge device computation applications</li></ul>

Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices PDF

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