while True: learn()

This game suits curious people who want to see how machine learning ideas fit together before committing to a full course, or instead of one. The mood is warm and a bit wry: a programmer discovers his cat understands machine learning far better than he does, and now you have to build a translator between them. What to expect: - Early on you'll be assembling flowcharts from ready-made blocks, from expert systems to neural networks, and seeing each one work - Puzzles follow the history of the field, so you feel how one idea led to the next - Each method comes with links to articles, videos and courses if you want to dig deeper - No coding required, and the cat still needs new outfits and better hardware The purchase is delivered as a Steam gift: send the bot your Steam quick invite link, and it will add you as a friend and send the game as a gift to your account. Global, any Steam account region. while True: learn() is a puzzle game about machine learning, neural networks, big data and AI. But most importantly, it's about understanding your cat. You play as a coder who has just discovered that their cat is brilliant at machine learning but hopeless at human language. So it's up to you, with a little help from the cat, to figure out how machine learning works and build a cat-to-human translator, one puzzle at a time. What you'll actually do: - Build flowcharts from ready-made blocks: expert systems, decision trees, perceptrons, neural networks and more - Sort data by shape and colour within limits on accuracy, speed and cost, then chase the gold medal - Read the story behind every technique, with links to articles, videos and courses if you want to go deeper - Take freelance jobs, buy better hardware, gamble on startups and dress up your cat No coding experience required, and no code is written in the game. It's a first map of the field, not a course: you'll come out knowing what the words mean, what each idea is for and why it mattered. Made for curious people who want to see how machine learning ideas fit together before (or instead of) a course, for parents and teachers introducing kids to logic, and for anyone who likes smart cats. Meet the ideas behind machine learning Each puzzle introduces a real technique in the order it appeared in history: from the humble expert systems of the 1960s to recurrent neural networks that predict what comes next. A short note tells you what the block does in the game and what its real-world cousin does, and hand-picked links let you keep reading. Don't worry: it all plays out as a puzzle game. Build it, run it, tune it Drag blocks onto the board, wire them up, press Release and watch the data flow. Bronze usually comes easy. Gold means finding a smarter scheme, trading a little accuracy for speed, or coming back with better hardware. A solution you're proud of can be saved and reused as a single block in later jobs. Live the life of a freelance data scientist Groundbreaking technology takes time, experience and money, so you'll pay your way as a freelancer. Read emails from very strange clients, pick contracts, sit alone in a dark room for days without saying a word, socialize on forums. That's what real data scientists do. We checked. From self-driving cars to startups Jobs are inspired by problems machine learning has solved in real life, including a self-driving car with your cat as the pilot. When you feel confident, become the CTO of a startup: your schemes against the savage laws of the market. Cash out at the top and become a tech guru, or lose everything and crawl back to the doorstep of the HR department. At least it was worth trying, right? Improve your gear, improve your life! Once the money is flowing, buy hardware that runs your schemes faster. But it's not just about the hardware: get a new smartphone, a geeky figurine, fancy outfits for your cat. Hell, you can even buy yourself an aloe. Fun fact: this is more or less what machine learning specialists actually do. Now you can become one of them (minus the salary). while True: learn() is the best game about being a data scientist, because nobody else has been weird enough to make one. Playable with a mouse alone or with a controller, including on Steam Deck. Available in more than 30 languages.