The AMLDA 2021 is an interdisciplinary platform both for industry and academia to present and discuss the innovations, trends, and concerns as well as the challenges encountered and solutions. Authors are welcomed to submit their original, unpublished research contributions that are not currently under consideration by another conference/journal. The 4th edition of this international conference, AMLDA 2021 invites the original research papers on the following topics listed below, but not limited to:

Machine learning algorithms (not limited to): active learning, supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning, time series analysis

Deep learning models and applied intelligence

Data science: data analysis and visualization

Intelligent planning and systems

Natural language processing and applications (e.g., healthcare, emotions/sentiments, etc.)

Applications (machine learning and data science): healthcare and medical imaging informatics, biometrics, forensics, precision agriculture, risk management, and satellite imaging