The advances in big data technology are opening up new ways to collect and transport large amounts of data more efficiently. This revolution has boosted research and development of real-time algorithms and methods. Traditionally, machine learning algorithms were not designed for real-time processing. In fact, data science competitions (e.g the Netflix prize, Kaggle) were criticised…
Posts Tagged:Clustering
Bloom Filter A Bloom filter is a space-efficient probabilistic data structure that is used to efficiently encode sets and perform set membership tests, whether an element is a member of a set. False positives are possible, but false negatives are strictly not possible. i.e. a query returns either “inside set (may be wrong)” or “definitely…
Clustering Introduction:- Clustering is one of the most popular techniques available in Machine learning field. This allows the system to group numurous entities into separate clusters/groups based on certain characteristics/features of the entities. Clustering is a widely used technique in many grouping problems like grouping similar news articles, blogs, emails, malwares etc based on their…
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