talk-data.com

We talked about:

Anahita's Background Mechanical Engineering and Applied Mechanics Finite Element Analysis vs. Machine Learning Optimization and Semantic Reporting Application of Knowledge Graphs in Research Graphs vs Tabular Data Computational graphs Graph Data Science and Graph Machine Learning Combining Knowledge Graphs and Large Language Models (LLMs) Practical Applications and Projects Challenges and Learnings Anahita’s Recommendations

Links:

GitHub repo: https://github.com/antahiap/ADPT-LRN-PHYS/tree/main

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Graph retrieval systems and building a Python package - Anahita Pakiman

About the event

Outline:

• Knowledge graphs on complex data sets and data engineering
• On doing a PhD and bridging the gap between industry and academia
• On being a Consultant
• A python project including knowledge graphs and ChatGTP and a BootCamp

About the speaker

Anahita is a Data scientist-engineer with a strong background in the knowledge graph, semantic web, digitalization, and mechanical engineering. Currently the Senior Knowledge Graph-Data Scientist Consultant at brox IT-Solutions

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