Скачать или смотреть Vahab Mirrokni Freed us from Curse of High Dimension Data!

📚 Imagine walking into a giant bookstore café, looking for something similar to your favorite book. Instead of comparing every book one by one, assistants with special “hash glasses” group similar books together—making your search faster and smarter.

🔎 This is the idea behind Locality-Sensitive Hashing (LSH). But in the real world, data isn’t just books—it’s images, text, and even genetic data with millions of dimensions. Here, traditional methods fail.

💡 Vahab Mirrokn, Laureate of The 2025 Mustafa (PBUH) Prize, and his colleagues extended LSH into a powerful, adaptable model that works across all kinds of data and similarity measures—helping us overcome the curse of dimensionality.

🌲 It’s like finding a single leaf in a massive forest—no matter the complexity. A true breakthrough in data science.

#DataScience #MachineLearning #VahabMirrokni #MustafaPrize