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

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