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Happy Programmer's Day!


September 13th is a very special occasion for us: it is also known as World Programmer's Day! Although while True: learn() is not a programming simulator per se, machine learning would not be possible without coding! It might seem a little bit weird, but on this year's Programmer's Day we'd like to talk to you about a coding-free game about coding. In our next big project, Learning Factory, a player embarks on a journey to build a huge factory which is all about understanding cats using the means of machine learning. This time it's for real! Where while True: learn() was mostly simulating a lifestyle of a data scientist, Learning Factory is all about real machine learning: it is using linear regression for calculating optimal price of goods in a store, catering to need of some very picky cats! "Machine learning helps to take all the factors into consideration. But before that would become possible, a player would have to prepare raw data for the algorithm. Actually, this is what 95% of working with machine learning in production is all about. In Learning Factory, we are trying to make this process as graphic and illustrative as possible -- hence the factory building concept. Different kinds of buildings would collect different kinds of data, which then flows to data cluster cores where the mathematical magic is happening. Say, a player wants to build a model which would acknowledge the price of goods, the type of store and something less obvious, like, cats' ears shape. They would have to streamline the data to a cluster core, push a button and let the algorithm calculate the optimum price within the dataset" -- Ivan Kapranov, lead coder at Luden.io You can read the full story in this post. And if you're interested in learning more about machine learning (and/or building automated factories for cats!), it's easy as pie! Here's your short list of options: 1. Join our Discord Server to play Learning Factory's Alpha 2. Subscribe to our E-mail list (which will also allow you to play the Alpha!) 3. Add Learning Factory to your wishlist:
Don't be a stranger! Let us know what you think about our next game and don't hesitate to join our ranks of cat-loving engineers! And in any case: HAPPY PROGRAMMER'S DAY, EVERYONE! The future is digital!


[ 2020-09-13 16:25:18 CET ] [ Original post ]



while True: learn()
Luden.io
  • Developer

  • Nival
  • Publisher

  • 2019-01-17
  • Release

  • Simulation Singleplayer
  • Tags

  • Game News Posts 174  
    🎹🖱️Keyboard + Mouse
  • Controls

  • Very Positive

    (6324 reviews)


  • Review Score

  • https://luden.io/wtl/
  • Website

  • https://store.steampowered.com/app/619150 
  • Steam Store

  • The Game includes VR Support



    WTL_linux [207.52 M]

  • Public Linux depots

  • while True: learn() Art Pack
    while True: learn() Mega Map of Machine Learning
  • Available DLCs

  • Warning! Please take a look at the Early Access section, you'll find current state of the game, future plans and a story behind the game.

    It's never too late to learn


    Everyone is speaking about machine learning. Forbes writes that these developers and Data Scientists have incredible salaries, Elon Musk says that they can accidentally create an AI that can enslave humanity. So, what are these people really doing when they come to work? This game is a simulator of a machine learning specialist who uses visual programming to make his living. Learn what those guys are actually doing and realize if it is possible to create a big and scary evil AI by mistake (or not)?

    Features

    • Work as a freelancer or run a startup
    • Write systems using visual programming interface to complete clients' orders
    • Deploy system to the cloud
    • Reuse system components in future
    • Scale the system when the amount of data gets huge
    • Make money as a machine learning developer
    • Learn how machine learning works
    MINIMAL SETUP
    • OS: Ubuntu 16.04+. SteamOS
    • Processor: 2.0 GHzMemory: 2 GB RAM
    • Memory: 2 GB RAM
    • Graphics: Intel HD Graphics 3000
    • Storage: 500 MB available space
    GAMEBILLET

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    GAMERSGATE

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    FANATICAL BUNDLES

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    HUMBLE BUNDLES

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