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AIM Announces The Launch Of Third Edition Of Machine Learning Developers Summit – MLDS 2021

AIM Announces The Launch Of Third Edition Of Machine Learning Developers Summit – MLDS 2021

Srishti Deoras

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Analytics India Magazine announces the launch of Machine Learning Developers Summit 2021 (MLDS21), India’s leading conference exclusively for the machine learning practitioners ecosystem. The three-day event from 11-13 February 2021 will be in a virtual setting this edition. 

The field of machine learning is witnessing increased use cases across industries and an expanded role in enterprises, especially in the post-COVID world. MLDS brings India’s leading machine learning innovators and practitioners to share ideas and experience about machine learning tools, advanced development in this sphere to give attendees a first look at new trends & developer products. 



MLDS21 will allow attendees to explore the potential of machine learning for their business and gain best practices from cutting-edge presentations.

It will help them explore new tools and technologies in the field while letting developers get hands-on exposure to the latest skills in ML technology while gaining network opportunities with leading companies. 

The 3-day conference will give participants direct access to top ML innovators from leading tech companies. They will cover various aspects of the machine learning field — from software architecture of ML systems to producing and deploying the latest ML frameworks and solutions for business use cases. 

Register here for MLDS2021

Paper Presentation

MLDS21 will host paper presentations from the ML community to promote research in the space and foster scientific exchange between researchers, practitioners, scientists, academicians, and engineers. It encourages papers from all subareas of AI in a wide range of application domains such as healthcare, sustainability, transportation, and commerce. The technical paper presentation is highly sought after at MLDS, and have been received well in the research community. The submissions for 2021 are open and interested participants can apply here. The selected papers will be published in Lattice, The Machine Learning Journal by the Association of Data Scientists.


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40 Under 40 Awards

These awards recognise young data scientists in India who have made significant contributions in the field of machine learning and have transformed data into meaningful insights by solving most complex challenges. This award recognises and distinguishes the data scientists, real innovators and achievers of the analytics industry and separates them from the rest of the crowd. Nominees are carefully reviewed and selected by our team of editors and industry veterans. The nominations for 2021 are open, and winners will be recognised at the annual Machine Learning Developers Summit 2021 to be held in Feb 2021, virtually. It is open for data science and ML professionals ranging from CXOs and head of Analytics. 

Who Should Attend

MLDS is the first-of-its-kind conference to cover both the technical and business aspects of this emergent technology. The program will be packed with learning and networking sessions, well-suited for both developers and C-suite executives to understand how this technology will make the biggest impact this year, both in terms of career and business prospects.

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MLDS21 is expected to see participation from 200 organisations, 1500 ML developers and more than 30 speakers featuring 50+ focused sessions, keynotes and workshops by some of the foremost minds in the ML industry. 

Highlights Of MLDS21

  • It will allow participants to network in a closed virtual setting to the leading machine learning researchers
  • It will provide access to ML experts to help answer specific questions and discover new trends in the field
  • It will let participants apply the best practices to work
  • It will allow participants to test drive and explore the latest machine learning technology and tools with hands-on setting

Date: 11-13 Feb 2020

Where: Virtual

Read more about MLDS21 here.

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