KOTVOD needs YOU, engineer!
Yes, you! As you probably have heard already, the purpose of our glorious Learning Factory is to explain some basics of machine learning in a stylish graphic way, so even stupid humans would understand it (cats already know all there's to know about it).
If you don't know this yet, don't hesitate to check out our team's lead coder interview form a couple of weeks ago
One of ML techinques that will empower your Factory will be Linear Regression. So we've made a linear regression machine so you could learn about machine learning while machines learn to learn... Ok, that came off pretty complicated, so, with no further ado, please welcome our MACHINE LEARNING MACHINE for linear regression:
Option 1
Option 2
If you have no idea of how it works and what it does, don't you worry. For now all we need from you is to let us know, which one you like more.
Do rush to the #learing-factory room on our Discord server and vote today!
And if you want to get some background first, here's an excerpt from a very comprehensive article about machine learning: "Regression is basically classification where we forecast a number instead of category. Examples are car price by its mileage, traffic by time of the day, demand volume by growth of the company etc. Regression is perfect when something depends on time. Everyone who works with finance and analysis loves regression. It's even built-in to Excel. And it's super smooth inside the machine simply tries to draw a line that indicates average correlation. Though, unlike a person with a pen and a whiteboard, machine does so with mathematical accuracy, calculating the average interval to every dot." If you have time, go give this article a read, it really is awesome. Or look it up on Wikipedia, if you're brave enough! And then come back to our Discord server and vote for the ML Machine design you find more self-explanatory!
Learning Factory
Luden.io
Nival
2021-02-18
Strategy Simulation Singleplayer
Game News Posts 269
🎹🖱️Keyboard + Mouse
Very Positive
(291 reviews)
https://luden.io/
https://store.steampowered.com/app/1150090
linux [577.48 M]
It's all part of perhaps the most important quest: trying to understand what your cat REALLY wants. Do you want that door opened? Or closed? Understanding such complicated creatures cannot be done without analyzing huge amounts of data and building a neural network. And there's just a place to go for all that.
Welcome to what once was the largest research site of cat behavior in the world: the now-defunct KOTOVOD Learning Factory. It was built to process the insane amount of data about cats and their habits. The project was shut down many years ago and now it's up to you to bring the mighty KOTOVOD back to its former glory
- Construct cat-entertaining facilities to collect data about furry creatures
- Analyze the data with Machine Learning to find features and create better quality stuff for your pets
- Automate and optimize KOTOVOD: you can never make cats too happy, you know
- Learn how machine learning works by studying whimsy cats
- Add to your wishlist
- Sign up for Free Alpha via Discord or by email
Out first game about Machine learning
https://store.steampowered.com/app/619150/while_True_learn/What is machine learning?
Machine learning is a real-world technology that helps us to predict the future. This technology is covered with tons of mysteries theories but how exactly those predictions are made? In this game, you will use real machine learning from the simplest things to extremely complex ones. You will see that there is no dark magic here.Digital Factory
Everyone can easily imagine a regular factory, but what is going on inside a “digital factory” like Amazon or Google?) How they understand what to offer, how to attract users, how reviews influence their business? We want this tycoon/sim game to help people learn more about digital factories, machine learning tech, and digital marketing.- 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
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