This article will introduce the concept of Locality Sensitive Hashing (LSH) and the working principles of the algorithm.
A data structure is a data organization, management, and storage format that enables efficient access and modification. Hashes are a type of a dash structure that store elements in a secular manner.
What is the k-nearest neighbours (kNN) algorithm and how is it applied to Machine Learning?
Here is a brief introduction for beginners like you to know about data marketplaces.
To anyone who doesn't know about the Internet of Things (IoT), here is a short beginners' guide to IoT.
Big Data has the potential to improve the world through sustainability practices. Here are ten use cases for achieving sustainability through Big Data.
Covid-19 and Big Data have together sparked these trends that we should expect to carry on in 2021 and beyond.
What is the use of Bloom filters, and why are they used?
This article lists the many possible people counting options that public transport operators have for counting the number of passengers in public transport.
Defining public transport delays is not as straightforward as we think. This article dives deep into this complex topic.

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