Sub
track: -
Machine Learning and AI, Algorithm Types
and Techniques, Deep Learning. Model Training and Evaluate Applications of AI
and Machine Learning, Data Management and Processing, AI and ML in Research and
Development. Ethical and Regulatory Considerations, Tools and Platforms, Machine
Learning, Artificial Intelligence, AI, Deep Learning, AIResearchAIML, Data
Science, ML, Innovation, AIinTech
Machine Learning (ML) and Artificial Intelligence (AI) are closely related
fields, often mentioned together because of their roles in enabling intelligent
systems. Artificial intelligence (AI) is a broad field that uses technology to
create machines and computers that can mimic human cognitive functions. Machine
learning (ML) is a subset of AI that allows computers to learn and improve from
experience without direct instruction.
