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  1. Tom Verlaine, Singer and Guitarist of Punk Legends Television, Dead at 73

    by , 02-04-2023 at 01:46 AM


    Tom Verlaine, singer and guitarist for punk legends Television who crafted the band’s 1977 masterpiece Marquee Moon, has died at the age of 73.
    Jesse Paris Smith, the daughter of Patti Smith, confirmed Verlaine’s death following a “brief illness” to Rolling Stone on Saturday. “He died peacefully in New York City, surrounded by close friends. His vision and ...
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  2. Population optimization algorithms: Cuckoo Optimization Algorithm (COA)

    by , 02-03-2023 at 01:53 AM
    The cuckoo is a fascinating bird, not only because of its singing, but also because of its aggressive breeding strategy, which consists in laying eggs into nests of other birds.
    Cuckoo search is one of the latest nature-inspired heuristic algorithms developed by Yang and Deb in 2009. It is based on the parasitism of some cuckoo species. This algorithm has been further improved by so-called Levy flights rather than simple isotropic random walk methods.
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  3. Fed Raises Rates Another 25 Basis Points—Signals More Hikes Still To Come

    by , 02-02-2023 at 10:51 AM
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    In an announcement, Fed officials acknowledged that inflation has “eased somewhat,” but cautioned it remains “elevated,” and that additional rate increases “will be appropriate” in order to further ease rising prices.

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  4. MQL5 Cookbook — Services

    by , 02-02-2023 at 01:59 AM
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    Since recently, MetaTrader 5 features a new program type known as a service. According to the developer, services allow users to create custom price feeds for the terminal, i.e. to implement price delivery from external systems in real time, just like it is implemented on brokers' trade servers. This is not the only feature of services.
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    In this article, I will consider the nuances of working
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  5. Data Science and Machine Learning (Part 10): Ridge Regression

    by , 02-01-2023 at 01:57 AM
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    Ridge regression is the method of estimating the coefficients of multiple-regression models in scenarios where the independent variables are highly correlated. The method provides improved efficiency in parameters estimation problems in exchange for a tolerable amount of bias meanwhile Lasso (Least absolute shrinkage and selection operator) is a regression analysis method that performs both variable selection and regularization to enhance the prediction
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