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🚀 Master Quantitative Skills with Quant Guild https://quantguild.com 📈 Interactive Brokers for Algorithmic Trading https://www.interactivebrokers.com/mk... 👾 Join the Quant Guild Discord server here / discord ___________________________________________ 🪐 Jupyter Notebook https://github.com/romanmichaelpaoluc... AI (neural networks) works great when the problem space is stable and modelled outcomes tend to be conditional and non-linear. As a universal function approximator, all AI learns is a non-linear conditional expectation function in efforts to produce a best-guess, level, non-linear conditional expectation, or (*sighs*) a "prediction". At the end of the day, these are just statistical models after all - as long as we are correct on average we can generate P/L! Roman ___________________________________________ 📖 Chapters: 00:00 - Introduction 02:20 - Understanding Random Variables 04:30 - Critical Distinctions about Random Variables 08:44 - Example: What is AI Actually Learning? 11:28 - Intuition: What is AI Actually Learning? 14:32 - Finance Example: What is AI Actually Learning? 16:20 - Probabilities as Expectations (Bernoulli Averages) 19:42 - Artificial Intelligence, Stock Price Prediction, Facial Recognition 26:05 - Closing Thoughts and Future Topics ___________________________________________ ▶️ Related Videos Why Monte Carlo Simulation Works • Why Monte Carlo Simulation Works Analyzing Stock Returns with Principal Component Analysis in Python • Analyzing Stock Returns with Principal Com... Can AI Learn Black-Scholes? • Can AI Learn Black-Scholes? Expected Stock Returns Don't Exist • Expected Stock Returns Don't Exist How to Trade • How to Trade How to Trade with an Edge • How to Trade with an Edge ___________________________________________ 🗂️ Resources 📚 Quant Guild Library: https://github.com/romanmichaelpaoluc... 🌎 GitHub: https://github.com/RomanMichaelPaolucci https://github.com/Quant-Guild 📝 Medium (Blog): / quantguild / quant ___________________________________________ 🛠️ Projects The Gaussian Cookbook: https://gaussiancookbook.com Practice Market Making (Statistical Arbitrage): https://practicemarketmaking.com Recipes for simulating stochastic processes: https://papers.ssrn.com/sol3/papers.c... ___________________________________________ 💬 Socials TikTok: / quantguild Instagram: / quantguild X/Twitter: https://x.com/quantguild/ LinkedIn (personal): / rmp99 LinkedIn (company): / quant-guild ___________________________________________