19th International Conference on Machine Learning and Computing (ICMLC 2027)

The 19th International Conference on Machine Learning and Computing (ICMLC 2027) is a conference that examines machine learning theory, learning methods, deep learning, natural language processing, data management, applications, and human-computer interaction.

Key topics

• Deep learning
  • Convolutional neural networks
  • Recurrent neural networks
  • Transformer architecture
• Applications of machine learning
  • Computer vision
  • Natural Language Processing
  • Bioinformatics
  • Business intelligence and data analytics
• Data management and processing
  • Big data processing
  • Data mining and knowledge discovery
  • Data cleaning and integration
• Theoretical foundations of machine learning
  • Computational learning theory
  • Statistical learning theory
  • PAC learning
  • VC dimension
• Supervised learning
  • Linear regression
  • Logistic regression
  • Decision trees
  • Support vector machines
• Unsupervised learning
  • Clustering analysis
  • Association rule mining
  • Principal component analysis
• Reinforcement learning
  • Q-Learning
  • Policy gradient methods
  • Applications in robotics and game AI
• Natural language processing (NLP)
  • Large Language Models (LLMs)
  • Multimodal NLP (text+vision/audio)
  • Low-resource/domain-specific NLP
• Human-computer interaction in machine learning
  • User-friendly machine learning interfaces
  • Human-machine collaboration
  • Visualization of machine learning processes

Who should attend