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

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

C. ChatterjeeAdaptive Machine Learning Algorithms with Pythonhttps://doi.org/10.1007/978-1-4842-8017-1_8

8. Real-World Applications of Adaptive Linear Algorithms

Chanchal Chatterjee¹  

(1)

San Jose, CA, USA

 

In this chapter, I consider real-world examples of linear adaptive algorithms. Some of the best needs for these algorithms arise due to edge computation on devices, which require managing the following:

• Power usage for device-based computation at scale

• Non-stationarity of inputs

• Latency of computation on devices

• Memory and bandwidth of devices

In these cases, there are the following constraints:

• The data arrives as a sequence of random vectors {x_k} or random matrices ...