Advanced Analytics and Deep Learning Models

4Adoption of Machine/Deep Learning in Cloud With a Case Study on Discernment of Cervical Cancer

Jyothi A. P. ^1,2*, S. Usha^2,3 and Archana H. R.³

¹Dept. of CSE, RVITM, Bengaluru, Karnataka, India

²Dept. of CSE, RND, RRCE, Bengaluru Karnataka, India

³Dept. of ECE, BMSCE, Bengaluru, Karnataka, India

Abstract

Machine learning (ML) utilizes calculations to parse information and settle on educated choices dependent on what it has realized. Deep learning (DL) is a subfield of ML. While both fall under the general classification of artificial intelligence, profound realizing is the thing that controls the most human-like man-made consciousness.

The association between ML/DL and cloud computing is the interest for resources. Where cloud computing becomes possibly the most important factor is the quick capacity to turn up new servers with a pre-characterized picture and change assets on the fly. You may need 100 servers up chipping away at your calculation, yet you do not need those hundred servers up consistently, which would be a misuse of cash. With cloud computing, you can turn up any number of servers you need, work on the algorithm, and, at that point, destroy the machines again when complete.

This book chapter discusses on adoption of ML/DL in cloud. It covers introduction, background study, description of ML/DL, connection between ML/DL and cloud, ML/DL algorithms, a project implementation on discernment of cervical cancer by using ML/DL in cloud with its design methodology ...