ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

APPLYING MACHINE LEARNING TECHNIQUES TO ASSESS THE QUALITY OF TECHNICAL PAPERS 

Abstract

Artificial intelligence, much like statistics and calculus, has become a valuable tool in engineering and experimental research. The pillars of data science—deep learning, artificial intelligence, and Machine Learning [ML] —are pivotal for scholars in this rapidly expanding field. This article elucidates the interconnections among these foundational elements of data science. Machine Learning [ML] serves as a prerequisite for any analytical endeavor, and this article delves into the process of building Machine Learning [ML] models from scratch. Deep learning, often referred to as the latest wave in machine intelligence, receives special attention, with an exploration of its fundamental architecture. Furthermore, the report conducts a proportional analysis among deep knowledge & Machine Learning [ML] , offering researchers a comprehensive viewpoint. Keywords: Machine Learning [ML] , Deep learning, Artificial Intelligence, shallow learning.

Full Text PDF

IMPORTANT DATES 

Submit paper at ijasret@gmail.com

Paper Submission Open For October 2024
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th October, 2024
Deadline Submit Paper any time
Publication of Paper Within 15-30 Days after completing all the formalities
Publication Fees  Rs.6000 (UG student)
Publication Fees  Rs.8000 (PG student)