Journal IJCRT UGC-CARE, UGCCARE( ISSN: 2320-2882 ) | UGC Approved Journal | UGC Journal | UGC CARE Journal | UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, International Peer Reviewed Journal and Refereed Journal, ugc approved journal, UGC CARE, UGC CARE list, UGC CARE list of Journal, UGCCARE, care journal list, UGC-CARE list, New UGC-CARE Reference List, New ugc care journal list, Research Journal, Research Journal Publication, Research Paper, Low cost research journal, Free of cost paper publication in Research Journal, High impact factor journal, Journal, Research paper journal, UGC CARE journal, UGC CARE Journals, ugc care list of journal, ugc approved list, ugc approved list of journal, Follow ugc approved journal, UGC CARE Journal, ugc approved list of journal, ugc care journal, UGC CARE list, UGC-CARE, care journal, UGC-CARE list, Journal publication, ISSN approved, Research journal, research paper, research paper publication, research journal publication, high impact factor, free publication, index journal, publish paper, publish Research paper, low cost publication, ugc approved journal, UGC CARE, ugc approved list of journal, ugc care journal, UGC CARE list, UGCCARE, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, ugc care list 2021, ugc approved journal in 2021, Scopus, web of Science.
How start New Journal & software Book & Thesis Publications
Submit Your Paper
Login to Author Home
Communication Guidelines

WhatsApp Contact
Click Here

  Published Paper Details:

  Paper Title

AN EXPLORATORY STUDY OF MACHINE LEARNING AND IT`S FUTURE IN THE UNITED STATES

  Authors

  Lakshmisri Surya

  Keywords

Artificial intelligence, machine learning Automation, Software architecture

  Abstract


This paper explores the concept of Machine learning and its emergence as a useful technological advancement in various industries over the years as well as what its future looks like in the United States. This research paper is exploratory. There will be the use of secondary data obtained from various scholars who have documented how Machine Learning has been growing and transforming various sectors of the economy over the years. Most organizations have adopted the use of Machine Learning in this competitive era as most industries look at taking over huge segments of the economy. Machine Learning has been the talk of various stakeholders in the technological world but there are high expectations that it will grow more beyond its current status. Most industries have undergone massive technological changes in this competitive era. Many organizations are prepared to embrace the changes and as they intend to be more competitive [1]. The scope of artificial intelligence (AI) in various sectors of the economy like e-commerce, education, and health has increased over the years. Many companies are now investing in developing their AI and machine learning technologies to be efficient as compared to the traditional approaches. In the education field, Artificial intelligence has been adopted to reach out to students in remote areas. AI applications have supported personalized education and dialog system, a review of student progress reports, facilitate in game-based education as well as student support Chabot system. The study concludes that all sectors need to embrace the Machine learning framework to boost business operations in various economic sectors [2]. Since its inception, technologists have taken great steps to benefit from machine learning. Despite progress and advancements in machine learning, several main issues still prevail in organizational scaling due to manual processes and poor collaboration as well as overlapping resources that impede agility. Luckily, organizations particularly strive to make the most out of machine learning in the future [3]. Computer system specialists will now continue to increase their skills by designing, delivering, and improving on quality assurance to be prepared for the future artificial intelligence level. Every project team must be equipped to confront many important challenges that may arise. With the introduction of a robotic system, this trend has taken an exponential pace. Currently, the machine learning progression continues to build on improved coordination and automation concepts to improve application features, designs, and testing. In the U.S. the ongoing improvements of machine learning are noticeable in an almost limitless market. Machine learning is becoming a critical component of economic growth in this highly competitive age of technology [3]. Machine learning was a key element and shaped the technological environment, and many experts expect machine learning to be the norm and increase dramatically in the coming years.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1133868

  Paper ID - 203024

  Page Number(s) - 862-866

  Pubished in - Volume 4 | Issue 1 | January-2016

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.25713

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Lakshmisri Surya,   "AN EXPLORATORY STUDY OF MACHINE LEARNING AND IT`S FUTURE IN THE UNITED STATES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.4, Issue 1, pp.862-866, January-2016, Available at :http://www.ijcrt.org/papers/IJCRT1133868.pdf

  Share this article

  Article Preview

  Indexing Partners

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
Call For Paper July 2024
Indexing Partner
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
DOI Details

Providing A Free digital object identifier by DOI.one How to get DOI?
For Reviewer /Referral (RMS) Earn 500 per paper
Our Social Link
Open Access
This material is Open Knowledge
This material is Open Data
This material is Open Content
Indexing Partner

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer