| 期刊全稱 | Adaptive Machine Learning Algorithms with Python | | 期刊簡稱 | Solve Data Analytics | | 影響因子2023 | Chanchal Chatterjee | | 視頻video | http://file.papertrans.cn/145/144686/144686.mp4 | | 發(fā)行地址 | Learn to use algorithms to solve machine learning and data analytics problems with low power and memory usage.Create new algorithms for real-time machine learning use cases.Implement code with adaptiv | | 圖書封面 |  | | 影響因子 | .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...Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth.?..Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also come away with solutions to high volume time-varying data with high dimensionality in a low compute, low latency environment...What You Will Learn..Apply adaptive algorithms to practical applications and | | Pindex | Book 2022 |
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