Explore the world of Vector Search in this 44-minute talk by Research Scientist Connor Shorten. Dive into the Weaviate Vector Search Engine and its potential to extend database functionality, with a focus on applications in healthcare and content performance analytics. Learn about key concepts such as vector representations of data, vector segmentation, and the use of Weaviate for Twitter analytics. Gain insights into common questions in data science, segmentation techniques, and potential research directions. Discover how Vector Search can revolutionize data analysis and machine learning applications through this comprehensive presentation, which includes introductions, key takeaways, and a summary of the discussed topics.
Vector Search for Data Scientists - Connor Shorten
Overview
Syllabus
- Introductions
- Common Questions in Data Science
- Vector Search
- Key Takeaways: “Vector Search for Data Scientists
- Segmentation in Data Science
- Key Takeaways: #2: Vector Representations of Data
- Key Takeaways: #3: Vector Segmentation
- Key Takeaways: #4: Weaviate for Twitter Analytics
- Key Takeaways: #5: Research Questions and Discussion
- Summary
Taught by
Open Data Science
