About the Journal

Journal of Machine Learning and Applications is a peer-reviewed, open-access, quarterly journal that publishes novel research toward conceptual, theoretical, and methodical advancements in machine learning, artificial intelligence, and their practical applications. The journal welcomes submissions on a broad range of topics including, but not limited to, machine learning algorithms, computer vision, supervised and unsupervised machine learning, deep learning, neural networks, reinforcement learning, predictive learning, Bayesian networks, and data mining.

The journal strictly follows a double-blind peer review policy for an unbiased review process while ensuring a responsible and ethical environment.

To submit your manuscript, kindly register at https://www.reseaprojournals.com/emsystem/register_user