week 4: presentation proposal (#2482)

Co-authored-by: Florian Immig <[email protected]>

contributions/presentation/week4/prerna-immig/README.md

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+# Assignment Proposal
+
+
+## Title
+
+What is a Feature Store in ML?
+
+## Names and KTH ID
+
+  - Prerna Gupta ([email protected])
+  - Florian Jerome Immig ([email protected])
+
+## Deadline
+
+- Week 4
+
+## Category
+
+- Presentation
+
+## Description
+
+We want to do a presentation on the concept of the Feature Store. We will explain the significance of using a feature store when dealing with MLOps workflows and present its advantages. Specifically we will talk about how it enhances real-time (online) applications. In our presentation we use Feast as an example for an open-source feature store and provide according code-snippets.
+
+**Relevance**
+
+When not having a feature store, ML feature reusability is limited and ML engineers spent a significant amount of time on feature engineering. The concept of a feature store acts as a hub of callaboration and ensures consistency accross training and serving avoiding training-serving skew. Furthermore, features can be reused accross teams leading to additional time savings. Feature stores allow for a consistent and fast delivery of feature values in online, offline and training scenarios.