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Publications

Welcome to the Publications page of TensorScience.com. 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.

Journals

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

Data Science Journals

• Journal of Data Science - Journal of Data Science

• Big Data Research - Big Data Research

Machine Learning Journals

• Journal of Machine Learning Research - Journal of Machine Learning Research

• Machine Learning - Machine Learning

• Neural Networks - Neural Networks

Interdisciplinary Journals

• AI Magazine - AI Magazine

• Pattern Recognition - Pattern Recognition

• Computational Intelligence and Neuroscience - Computational Intelligence and Neuroscience

Conferences

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

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

• Coursera Data Science Specialization - Coursera Data Science

• edX MicroMasters in Statistics and Data Science - edX MicroMasters

Books

• “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.

Tutorials

• TensorFlow Tutorials - TensorFlow Tutorials

• Scikit-Learn Tutorials - Scikit-Learn Tutorials

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.