International Conference on Advanced Machine Learning and Data Science (AMLDS 2025)

Key Topics

• Deep Learning and Data Engineering
  • Deep Feedforward Networks
  • Deep Neural Networks Optimization Algorithms
  • Deep Convolutional Neural Networks
  • Regularization
  • Sequence Modelling
  • Deep Recurrent Neural Networks
  • Generative Adversarial Networks
  • Deep Generative Models
  • Tensors for Deep Learning
  • Inference Dependencies on Multi-Layered Networks
  • Multi Scale Deep Architecture and Learning
• Machine Learning Foundations
  • Machine Learning Optimization
  • Machine Learning System Design
  • Unsupervised Learning
  • Supervised Learning
  • Statistical Learning
  • Reinforcement Learning
  • Extreme Learning Machines
  • Transfer learning
  • Bayesian Learning
  • Kernel Based Learning
  • Adversarial Machine Learning
  • Instruction Based Learning
• Applications
  • Biomedical informatics
  • Bioinformatics
  • Healthcare
  • Computational Biology
  • Computer vision
  • Human Activity Recognition
  • Natural Language Processing
• Machine Learning and Data Engineering
  • Machine Learning based Data Integration and Data Interoperability
  • Machine Learning in Data Lakes
  • Machine Learning based Data Streaming
  • Machine Learning Data Pipelines
  • Machine Learning Principles of Information Extraction from Big Data
  • Machine Learning Relating to Knowledge and Data Management
  • Machine Learning Architecture for Pattern Recognition
  • Machine Learning based Web Data Management and Deep Web
  • Machine Learning Search Engine
  • Machine Learning Architecture for Medical Imaging
  • Machine Learning IoT Services
  • Machine Learning Cloud Services

Who should Attend

• Academicians
• Researchers
• Machine learning and data science professionals