DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph

DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph

29 Jul 202213:07pm - 29 Jul 202214:07pm

DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph

About the Event

This interactive DataHour session will cover understanding of different business problems in different domains and how machine learning is helping to solve them. During the session different phases of Artificial Intelligence development life cycle will be discussed along with the real business use case. The use of knowledge graphs and Ontologies have long been employed in the life sciences to formally represent and reason over domain knowledge. The application of knowledge graph and ontology is employed in almost every major business database design, integration, and enhancement for different domains. 

By the end of this session, you all will be able to understand how to generate the knowledge graph from huge unstructured text data and create, enhance, and build the ontology for different domains. Recently, ontologies are increasingly being used to provide background knowledge in similarity-based analysis and machine learning models. The aim of this DataHour is to help Data Science, machine learning and AI enthusiast/Ontology Specialist/Graph Data Engineers.

Prerequisites: Enthusiasm for learning Data Science and basic knowledge of Analytics, Machine learning and AI

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Anshul Ujlayan

Anshul Ujlayan

Data Science Mentor at GraphNexti

His passion is building great AI products that solve business problems. Throughout his career, he helped engineers with several AI-based data and analytics products. His experience spans from Ontologies/Reasoning/Inference to Graph-DB, Large-Scale Graph Queries, NLP/NLG, Time Series Analysis, and Data Mining with practical expertise in rapid + lean product development. He has managed many data science teams that have delivered solutions to clients in a timely, efficient manner for different domains, namely, Human capital, Banking, Insurance, Pharma, etc. He has got several research papers published in international journals and conferences.He has delivered various tech. lectures and conducted AI & ML workshops in Tier-1  and Tier-2 Institutes [IIM Jammu, IA , DTU GBU].You can follow him on Linkedin and Twitter.

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