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  • Take the Generative AI Crash Course: A Virtual Hands-on Workshop by ADaSci

    Take the Generative AI Crash Course: A Virtual Hands-on Workshop by ADaSci

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    ADaSci is organizing this virtual hands-on workshop on 4th March 2023.

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  • Deep Learning DevCon 2023: Virtual Conference by ADaSci on May 27

    Deep Learning DevCon 2023: Virtual Conference by ADaSci on May 27

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    ADaSci organizes the DLDC 2023, the third edition of annual conference Deep Learning DevCon, to be held virtually on 27th May.

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  • ADaSci launches its chapters to boost the worldwide data science ecosystem

    ADaSci launches its chapters to boost the worldwide data science ecosystem

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    ADaSci plans to make the community more active and accessible to its members through chapters.

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  • Why should you become a member of ADaSci?

    Why should you become a member of ADaSci?

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    Professional bodies provide better networking opportunities to connect with others working in the field of interest. It also provides learning and knowledge dissemination opportunities across the network, which helps its members’ professional growth and development. Some of the professional bodies also give recognition to the bright talents in the field through different programs.  ADaSci is…

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  • How does Institutional membership with ADaSci add value to a brand?

    How does Institutional membership with ADaSci add value to a brand?

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    Any corporate, organization or academic institution having common interests in data science or relevant fields can become a member of ADaSci. 

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  • Application of Ensemble Clustering to Create Consumption Behavior based Store Clusters

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    Author(s): Varen Gupta

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  • Exploration of Linear Model fit using observation weights and parameter constraints to handle poor quality data

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    Author(s): Ullas M S Rao, Mattias Jönsson

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  • IntelliQSense: An intelligent, real-time Query Autocompletion Framework using GPT-2

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    Author(s): Taaniya Arora, Shashank Srivastava, Neha Prabhugaonkar

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  • EthicalFL – An Optimized Federated Learning Framework with Bias Mitigation

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    Author(s): Shekar Ramachandran, Aakshi Mittal, Rudra Nath Palit, Anmol Bhasin, Aruna Kumari V, Rupali Agrahari, Himanshu Singh

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  • Inventory Optimisation and Management using Data Analytics and Artificial Intelligence

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    Author(s): Saurabh Singh Thakur

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