Utilization of Dataset for Data Prediction with Machine Learning a Review

EasyChair Preprint no. 8948

Abstract

With the convergence of computing and communication, we feed on information in its raw form of data. There is a huge of information locked up in databases that have not yet been discovered or articulated. Data plays a vital role for applications in assigning a category, object localization, behavior analysis, and image retrieval. Nowadays, data accomplish with complex mathematical tasks like lines of code, memory, and speed limitations. Organizations now focus on analyzing data that are getting accumulated and involve acquiring knowledge from reliable data sources, rapidity in processing information in deploying analytics to forthcoming challenges. The prediction in this research paper is applied to interpret the data set with the use of machine learning techniques to analyze the forecast value from the comparative study. Machine learning provides the technique to extract information from raw data that is expressed in a comprehensible form and can be used for a variety of purposes.

Keyphrases: Hadoop Distributed File System, Job Tracker, Regression, Resilient Distributed Datasets

@Booklet{EasyChair:8948,
  author = {Meenakshi Kondal and Virender Singh},
  title = {Utilization of Dataset for Data Prediction with Machine Learning a Review},
  howpublished = {EasyChair Preprint no. 8948},

  year = {EasyChair, 2022}}