The International Conference on Machine Learning for IT Infrastructure and Big Data is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Big Data, Machine Learning, Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
01
Machine Learning Algorithms For Big Data
02
Infrastructure Challenges In Machine Learning
03
Big Data Processing Frameworks Comparison
04
Scalable Machine Learning Techniques
05
Machine Learning For Data-driven It Solutions
06
Optimizing It Infrastructure With Ml
07
Real-time Analytics Using Machine Learning
08
Machine Learning In Cloud Environments
09
Data Preprocessing For Machine Learning Models
10
Ethical Considerations In Machine Learning
11
Machine Learning For It Service Optimization
12
Big Data Analytics In Machine Learning
13
Applications Of Deep Learning In It
14
Machine Learning Model Evaluation Techniques
15
Big Data Storage Solutions For Ml
16
Federated Learning In Big Data Contexts
17
Transfer Learning For Big Data Applications
18
Machine Learning For Anomaly Detection
19
Big Data Governance In Machine Learning
20
Future Directions In Ml For It