A Study on Data Scaling Methods for Machine Learning
Journal Title: International Journal For Global Academic & Scientific Research - Year 2022, Vol 1, Issue 1
Abstract
Machine learning (ML), a computational self-learning platform, is expected to be applied in a variety of settings. ML, on the other hand, uses a model built with a learning structure rather than traditional code that is written line by line in a continuous pattern. These models are created and equipped to determine the results of training using historical data. Scalability is a major challenge in real machine learning programs. Many ML-based technologies are essential to quickly analyze new data and create forecasts, as forecasts become meaningless after a few ticks (think real-time methods such as stock markets and clickstream data). Many machine-learning programs, on the other hand, need to be able to scale and train with gigabytes or terabytes of data during model training (As is found in the model from a web-scale image corpus). High-dimensional challenges pose new obstacles to machine learning professionals who are increasingly interested in scalability as well as algorithm quality. Against the backdrop of the current situation, this overview article on the scope of scalability in machine learning platforms collects, investigates, and analyzes the current state, aspects, and perspectives of scalability that can be added to machine learning platforms in a variety of ways to improve efficiency. The purpose is to do. Reliability when processing large amounts of data.
Authors and Affiliations
Vinod Sharma
Keywords
Related Articles
- EP ID EP709473
- DOI https://doi.org/10.55938/ijgasr.v1i1.4
- Views 92
- Downloads 0
Women empowerment with educational tools special references on tribal girl education in selected districts of Uttarakhand
Education is essential to the development of the society, therefore it is included in formulation of HDI as education index. HDI was developed in order to assess development of a nation considering life expectancy, educa...
A Study on Importance of Ethical Responsibilities in HR Management
In the field of human resources, ethical conflicts are undeniably a concern. Ethical norms exist in all firms and play a critical role in determining company success or failure, such as employment issues, safety issues,...
A Study on Application of Stochastic Queuing Models for Control of Congestion and Crowding
Traffic congestion is a common day-to-day trouble in many countries, especially large cities. Gradually, even medium-sized and small towns are experiencing such problems and suffering from their negative effects. Importa...
Ethical Decision Making in Soft lifting-A UAE Based Case Study
Soft lifting is a type of software piracy that is prevalent in today's computer-dependent world. Soft lifting is a type of software piracy in which software is installed or duplicated in a system in violation of its lice...
Transforming human resource management with HR analytics: A critical Analysis of Benefits and challenges
Human resources have long been a valuable organizational asset. Employees must be considered as resources to gain a competitive edge, and firms may survive in a competitive market by aligning human resources with essenti...