Can I read Supervised learning on EtoBox?

Supervised learning by Kanishka Tyagi; Chinmay Rane; Michael Manry is a book available to read on EtoBox.

What is Supervised learning about?

This chapter discusses various supervised learning paradigm that is used to train and deploy machine learning models. While the theory on supervised learning is predominated mainly by the computer vision and natural language processing community, much research is required in its application to edge computing. With the recent advances in machine learning algorithms, combined with the increasing computational power, edge computing is another area of application where machine learning will be improving the current technology. According to a white paper from Cisco [1], 50 billion internet of things (IoT) devices will be connected to the internet by the end of 2020, and even though the estimation that nearly 850 ZB of data will be generated per year outside the cloud by 2021, the global data center traffic is only 21 ZB approximately. This means that a transformation from bug cloud data centers to a wide range of edge devices is happening. We plan to cover the traditional supervised learning algorithm basics and the trade tricks while implementing them for various real-life applications. The assumptions made and the programming decisions made while implementing them are also discussed.

Author

Kanishka Tyagi; Chinmay Rane; Michael Manry

Publisher

Elsevier

Published

2022

Language

EN