2nd International Conference on Machine learning and Cloud Computing (MLCL) 2021

May 22nd, 2021
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 May 22nd, 2021 - May 23rd, 2021 

2nd International Conference on Machine learning and Cloud Computing (MLCL) 2021

Event submitted on Wednesday, November 4th 2020, approved by Charles Villanueva

2nd International Conference on Machine learning and Cloud Computing (MLCL) 2021, May 22nd, 2021Click to Tweet

171 Days Until The Event
May 22nd, 2021 - May 23rd, 2021
Switzerland » 
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 Our Review

If you want to gain insights about Machine Learning, this is the perfect event to attend. Not only you can learn a lot of things but this event provides a chance to share your knowledge to other professionals.

- Review written by Henry Dalziel on Wednesday, November 4th 2020.
- If you would like to edit or ammend facts in my review please either send us a message or connect with me via LinkedIn.

Conference Event Summary

The following description was either submitted by the Conference Organizer on Wednesday, November 4th 2020, or created by us.

2nd International Conference on Machine learning and Cloud Computing (MLCL) 2021 will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):

Topics of Interest:

  • Case Studies and Theories in Cloud Computing
  • Cloud Application, Infrastructure, and Platforms
  • Cloud Applications in Vertical Industries
  • Cloud-Based, Parallel Processing
  • Cloud Business
  • Cloud Computing Architecture
  • Cloud Storage and File Systems
  • Consolidation
  • Data storage and Management in Cloud Computing
  • Design Tool for Cloud Computing
  • Energy Management and Programming Environments
  • Location-Based Services, Presence, Availability, and Locality
  • Machine Learning Applications
  • Machine Learning in knowledge-intensive systems
  • Machine Learning Methods and analysis
  • Machine Learning Problems
  • Machine Learning Trends
  • Maintenance and Management of Cloud Computing
  • Mobile Clouds for New Millennium, Mobile Devices
  • Networks within Cloud systems, the Storage Area, and to the Outside
  • Virtualization in the Context of Cloud Computing
  • NoSQL Data Stores
  • Performance, SLA Management, and Enforcement
  • Platforms
  • Resource Provisioning
  • Security Techniques for the Cloud
  • Service-Oriented Architecture in Cloud Computing
  • Social Clouds (Social Networks in the Cloud)
  • System Integration, Virtual Compute Clusters
  • The Open Cloud: Cloud Computing and Open Source
  • Virtualization on Platforms in the Cloud

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