Approximate Nearest Neighbour and a popular Library Annoy for k-Nearest Neighbour Search скачать в хорошем качестве

Approximate Nearest Neighbour and a popular Library Annoy for k-Nearest Neighbour Search

#datascience #machinelearning #artificialintelligence #analytics #statistics Have you ever wondered how does a music application able to recognize user's taste and quickly recommend the music of their taste out of millions of songs out there in real-time, how dating apps starts showing the profile of interest out of many profiles out here, how does a shopping app starts recommending items of interest out of millions of listed items? The answer to all these questions is through an Approximate nearest neighbor search. For a set of points in some space (possibly many dimensions), ANN finds the closest k neighbors quickly in an approximate way. In this video, we will also cover a popular ANN library Annoy with its inner working to achieve the ANN search in near-real time. Annoy creates a tree-based index of the data and reduces the search from linear to logarithmic time. About DataTrek Series    • Introduction to DataTrek: Data Science & M...   Business Enquiries: collabwithdatatrek@gmail.com Find me on Instagram:   / simplyspartanx