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Welcome to the Publications page of Here, you will find a curated list of resources to help you publish your research, stay updated with the latest developments, and continue your education in the fields of data science and machine learning.


Our selection of journals includes reputable publications where you can submit your research papers for peer review and publication.

Data Science Journals

Machine Learning Journals

Interdisciplinary Journals


Attend these leading conferences to present your work, network with peers, and learn about cutting-edge research.

  • International Conference on Learning Representations (ICLR) - ICLR

  • NeurIPS (Conference on Neural Information Processing Systems) - NeurIPS

  • KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) - KDD


Workshops provide a more intimate setting for discussing specific topics within data science and machine learning.

  • Deep Learning Summer School - Information about such events can often be found on university websites or through professional organizations like the IEEE.

Educational Resources

Enhance your knowledge and skills with these educational resources.

Online Courses


  • “Pattern Recognition and Machine Learning” by Christopher Bishop - Available for purchase on various book retailers like Amazon.

  • “The Elements of Statistical Learning” by Trevor Hastie, Robert Tibshirani, and Jerome Friedman - The book is available for free from the authors’ website here.


Submission Guidelines

Before submitting your work to any journal or conference, please review their submission guidelines and ensure that your manuscript adheres to the required format and standards.