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Journal: Artificial & Computational intelligence (ISSN:2582-516X) | Journal : Machine Learning Techniques & Applications (Coming soon)
ACORS Journals
 

Machine Learning Techniques and Applications

(An International Journal)
OPEN ACCESS

Editor In-Chief


Dr. Sanjeev Sharma

RGPV, Bhopal, M.P., India

About Journal

IJMLTA is high quality peer-reviewed journal, where every article will be peer-reviewed by several experts in the field. Upon acceptance, articles will be published in the latest open volume.

The journal aims to be a global forum of, for, and by the community and offers:
  • Rapid peer review under the expert guidance of a global Editorial Board.
  • No color or page charges, free submission, and is free to access for the first one year of publication
  • High visibility
  • Opportunities to Societies / Conferences / Institutes / Laboratories /Corporate to ‘partner’ with the Journal and enjoy the benefit of planning and publishing issues in hot areas of research, without being under the pressure of publishing a full-fledge journal.

IJMLTA welcomes research and review papers related to Machine Learning Techniques and applications, but not limited to the areas of:

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Support Vector Machine
  • Naive Bayes
  • K-Nearest Neighbour
  • Random Forest
  • Dimentionality Reduction Algorithms
  • Gradient Boosting Algorithms

For a complete list of topics, please visit: Aims & Scopes  







Indexed in:
Google Scholar

Publisher:
Artificial Computational
Research Society

Online ISSN:
XXXX-XXXX

Available:
2020-2020

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