International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021

29-30 March 2021 Indian Institute of Technology, Patna, India ALL ACCEPTED & PRESENTED papers will be reviewed for possible publication in SPRINGER AISC.

ICMLBDA 2021 aims to provide a forum for researchers from both academia and industry to share their latest research contributions, future vision in the field, and potential impact across industries of ML and Big Data Analytics.

Join us, 29-30 March 2021, to explore discovery, progress, and achievements related to various Machine Learning Techniques and Big Data Analytics

This conference is basically focused on advanced automation, computational optimization of Machine Learning in all engineering-based applications as well as include specific plenary sessions, invited talks, and paper presentations focusing on the applications of ML and BDA in the fields of computer/ electronics/ electrical/mechanical/chemical/Textile engineering, Healthcare and Agriculture, Business and Social Media and other relevant domains.

The ICMLBDA 2021 will provide its attendees with an uncommon opportunity to expand their network beyond their immediate professional environment. It is a unique chance to work with other accomplished individuals from diverse areas towards the common goal of shaping the future of communication, computing, and society.

The proposed International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021 provides a platform for researchers and professionals to share their research and reports of new technologies and applications in ML and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence.

The ICMLBDA 2021 aims to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence.

Please consider submitting your works to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

The Submission & Website Link: