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  1. ML - MoneyLion Inc.

    Yahoo Finance

    89.79-4.32 (-4.59%)

    at Tue, Jun 4, 2024, 4:00PM EDT - U.S. markets open in 1 hour 20 minutes

    Pre Mkt 94.28 +4.49 (+5.00%)

    Nasdaq Real Time Price

    • Ask Price 100.67
    • Bid Price 0.00
    • P/E N/A
    • 52 Wk. High 106.82
    • 52 Wk. Low 10.11
    • Mkt. Cap 968.65M
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  3. Mobile Legends: Bang Bang - Wikipedia

    en.wikipedia.org/wiki/Mobile_Legends:_Bang_Bang

    Mode (s) Multiplayer. Mobile Legends: Bang Bang (MLBB) is a mobile multiplayer online battle arena (MOBA) game developed and published by Moonton, a subsidiary of ByteDance. The game was released in 2016 and grew in popularity, most prominently in Southeast Asia.

  4. Container deposit legislation in the United States - Wikipedia

    en.wikipedia.org/wiki/Container_deposit...

    California (5¢; for bottles 24 U.S. fl oz (710 mL) or greater, 10¢), California Beverage Container Recycling and Litter Reduction Act (AB 2020) implemented in 1987, last revision made October 2010. Listed on containers as " California Redemption Value ", or "CRV", or "CA Cash Refund" or similar notations.

  5. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Mercedes-Benz GLE - Wikipedia

    en.wikipedia.org/wiki/Mercedes-Benz_GLE

    The following year, in 2002, Mercedes-Benz launched the ML 350 fitted with a 3.7-litre V6 engine. The ML 350 replaced the ML 320 in some markets, but supplemented it in others. The previous Popemobile was based on a W163 series ML 430 and has been in service since July 2002.

  7. Farmers Union Iced Coffee - Wikipedia

    en.wikipedia.org/wiki/Farmers_Union_Iced_Coffee

    [citation needed] The product is available predominantly in 600 mL and smaller 375 mL cardboard cartons. However, the 375 mL cartons were changed in 2019 to 300 mL bottles, much like the “Stubby” style of the 750 mL bottles. The standard 600 mL cartons remain the same. It is also sold in 2 litre plastic cartons and 500 mL bottles.

  8. Long Island iced tea - Wikipedia

    en.wikipedia.org/wiki/Long_Island_iced_tea

    Add 1 ⁄ 2 US fl oz (15 ml) rum, 1 ⁄ 2 oz. gin, 1 ⁄ 2 oz tequila, 1 US fl oz (30 ml) vodka, 1 oz. whiskey, and 1 ⁄ 2 oz. maple syrup Mix, then add 4 US fl oz (120 ml) of cola While some sources say there was a recipe for Long Island iced tea in the 1961 edition of Betty Crocker's New Picture Cook Book , [2] no such recipe can actually be ...

  9. 722 redemption - Wikipedia

    en.wikipedia.org/wiki/722_redemption

    722 Redemption is a process within the U.S. bankruptcy code under section 11 U.S.C. 722 that allows a debtor to redeem collateral based on the market value of the collateral. The bankruptcy code allows a debtor to pay the retail value of the collateral in a lump sum payment to the creditor in exchange for the lien on the collateral being released.

  10. List of airline codes (M) - Wikipedia

    en.wikipedia.org/wiki/List_of_airline_codes_(M)

    ML MDW Midway Airlines (1976–1991) MIDWAY United States defunct FLA Midway Express: PALM United States FAX Midwest Air Freighters: FAIRFAX United States YX MEP Midwest Airlines: MIDEX United States MY MWA Midwest Airlines (Egypt) Egypt NIT Midwest Aviation: NIGHTTRAIN United States MWT Midwest Aviation Division: MIDWEST United States HTE

  11. Dimensionality reduction - Wikipedia

    en.wikipedia.org/wiki/Dimensionality_reduction

    Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension. Working in high-dimensional spaces can be undesirable for many ...

  12. Online machine learning - Wikipedia

    en.wikipedia.org/wiki/Online_machine_learning

    e. In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.