DataHour: Unlocking the Power of Embeddings

Embeddings are dense numerical representations of real-world objects and relationships, expressed as a vector. In this webinar we will go through what an embedding is, how it encodes semantic relations, how to use and train meaningful embeddings.

In this DataHour, Priya will explain all about embedding including the following topics:

• What is an embedding?
• How does it encode semantic relations?
• How to use and train meaningful embeddings.

Prerequisites: Interest in learning Data Science and Deep Learning. 

Priya Ghetia is currently working as Data Scientist with Honeywell where she is responsible for building AI based products. She has 6+ years of work experience in Data Science with big data technologies. She is a skilled professional with 6+ years of demonstrated experience in Data Science with big data technologies. She is also experienced in developing end-to-end Data Science solutions for enterprise analytics engagements as well as analytics products using Deep Learning and Machine Learning Algorithms for both supervised and unsupervised use cases.