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  2. Freepik - Wikipedia

    en.wikipedia.org/wiki/Freepik

    Website. www .freepik .com. Freepik (stylized as FREEP!K) is an image bank website. Content produced and distributed by the online platform includes photographs, illustrations and vector images. The platform distributes its content under a freemium model, which means that users can access much of the content for free, but it is also possible to ...

  3. Pixabay - Wikipedia

    en.wikipedia.org/wiki/Pixabay

    Pixabay.com is a free stock photography and royalty-free stock media website. It is used for sharing photos, illustrations, vector graphics, film footage, 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]

  4. Euclidean vector - Wikipedia

    en.wikipedia.org/wiki/Euclidean_vector

    A vector pointing from A to B. In mathematics, physics, and engineering, a Euclidean vector or simply a vector (sometimes called a geometric vector or spatial vector) is a geometric object that has magnitude (or length) and direction. Euclidean vectors can be added and scaled to form a vector space.

  5. Dot product - Wikipedia

    en.wikipedia.org/wiki/Dot_product

    Dot product. In mathematics, the dot product or scalar product [note 1] is an algebraic operation that takes two equal-length sequences of numbers (usually coordinate vectors ), and returns a single number. In Euclidean geometry, the dot product of the Cartesian coordinates of two vectors is widely used. It is often called the inner product (or ...

  6. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    Eigenvalues and eigenvectors. In linear algebra, it is often important to know which vectors have their directions unchanged by a given linear transformation. An eigenvector ( / ˈaɪɡən -/ EYE-gən-) or characteristic vector is such a vector. Thus an eigenvector of a linear transformation is scaled by a constant factor when the linear ...

  7. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    In machine learning, support vector machines ( SVMs, also support vector networks [1]) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis.