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  2. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  3. Topic model - Wikipedia

    en.wikipedia.org/wiki/Topic_model

    The author-topic model by Rosen-Zvi et al. [13] models the topics associated with authors of documents to improve the topic detection for documents with authorship information. HLTA was applied to a collection of recent research papers published at major AI and Machine Learning venues. The resulting model is called The AI Tree.

  4. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras contains numerous implementations of commonly used neural-network building blocks such as layers, objectives, activation functions, optimizers, and a host of tools for working with image and text data to simplify programming in deep neural network area. [11]

  5. Truncated regression model - Wikipedia

    en.wikipedia.org/wiki/Truncated_regression_model

    Estimation of truncated regression models is usually done via parametric maximum likelihood method. More recently, various semi-parametric and non-parametric generalisation were proposed in the literature, e.g., based on the local least squares approach [ 5 ] or the local maximum likelihood approach, [ 6 ] which are kernel based methods.

  6. Discrete choice - Wikipedia

    en.wikipedia.org/wiki/Discrete_choice

    Marketing researchers use discrete choice models to study consumer demand and to predict competitive business responses, enabling choice modelers to solve a range of business problems, such as pricing, product development, and demand estimation problems. In market research, this is commonly called conjoint analysis. [1]

  7. Margaret Cho Says Being Sober 'Feels Like Another Life ... - AOL

    www.aol.com/margaret-cho-says-being-sober...

    Margaret Cho is grateful for her sobriety. While attending the Out100 Event at Neuehouse in Hollywood, Calif. on Wednesday, Dec. 11, the comedian, 56, opened up about being sober for multiple ...

  8. Least-angle regression - Wikipedia

    en.wikipedia.org/wiki/Least-angle_regression

    Standardized coefficients shown as a function of proportion of shrinkage. In statistics, least-angle regression (LARS) is an algorithm for fitting linear regression models to high-dimensional data, developed by Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani.

  9. Set photos have shown the filmmakers using Sony Venice cameras, so while the image is digital, Mangold and Papamichael obviously took great care in emulating the grain and texture of film, and ...