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The Vector Institute is a private, non-profit artificial intelligence research institute in Toronto focusing primarily on machine learning and deep learning research. As of 2023, it consists of 143 faculty members and affiliates — 38 of which are CIFAR AI chairs — 57 postdoctoral fellows, and 502 students. [2] Along with the University of Toronto, the Vector Institute is affiliated with ...
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
Pixabay.com is a free stock photography and royalty-free stock media website. It is used for sharing photos, illustrations, vector graphics, film footage, stock music and sound effects, exclusively under the custom Pixabay license, which generally allows the free use of the material with some restrictions. [1] [2] [3] You can use the site's content for free without attribution, and modify or ...
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In natural language processing (NLP), a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1] Word embeddings can be obtained using language modeling and feature ...
In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis.
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Feature hashing. In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick ), is a fast and space-efficient way of vectorizing features, i.e. turning arbitrary features into indices in a vector or matrix. [1] [2] It works by applying a hash function to the features and using their hash values as ...