Machine Learning
Submission deadline: 2023-12-16
Section Collection Editors

Section Collection Information

Dear Colleagues,


Machine Learning is becoming increasingly important in today's world due to its ability to analyze and interpret large amounts of data quickly and accurately. Machine learning is a type of artificial intelligence that allows computer systems to automatically learn and improve from experience without being explicitly programmed. It involves the use of algorithms and statistical models to analyze and draw insights from data, and then use those insights to make predictions or decisions. Machine learning is used in a wide range of applications, including image and signal recognition, natural language processing, fraud detection, healthcare, and autonomous vehicles.

 

Therefore, we are pleased to collect your latest research on a wide range of topics related to machine learning, including but not limited to:

 

-          Deep Learning

-          Natural Language Processing

-          Healthcare

-          Computer Vision

-          Reinforcement Learning

-          Bayesian Networks

-          Neural Networks

 

Our editorial team comprises experts in the field of machine learning who will ensure that your submission undergoes a rigorous peer-review process. We are committed to publishing high quality research that contributes to the advancement of the field.

 

Thank you for considering our invitation.


Dr. Sadaf Moharreri

Section Editor

Keywords

machine learning; deep learning; computer vision; reinforcement learning; bayesian networks; neural networks

Published Paper