ML – Approximate Nearest Neighbors.
Table Of Contents:
- What Is ANNOY Algorithm.
- Use Case Example.
- How ANNOY Works Step By Step.
- Trade Off Controls.
- Advantages Of Annoy.
- Limitation Of ANNOY.
(1) What Is ANNOY Algorithm ?
(2) Example Use Cases.
(3) How Annoy Works — Step by Step
Step-1: Input Data Preparation
Step-2: Build Trees Using Random Projections
Step-3: Save The Tree To The Desk
Step-4: Querying / Searching
(4) Trade-Off Controls
(5) Advantages of Annoy
(6) Limitation
