📢 PyData Milano is back with another exciting event, hosted at Amazon Italia! This time, we’re diving into two major topics shaping the future of data science and software development. 📍 Location: Amazon Italia, Viale Monte Grappa 3/5, 20124 Milano 🕕 Time: 18:30

Agenda

18:30 – Doors open 19:00 – Welcome from PyData Milano 19:10 – Talk 1: Developments in the Scikit-Learn Ecosystem – Marie Sacksick & Guillaume Lemaître (Probabl.) 19:50 – Talk 2: AI Coding Agents and How to Code Them – Alex Shershebnev (Zencoder) 20:30 – Networking & Aperitivo 🍹

Talk Details

Developments in the Scikit-Learn Ecosystem: Going Beyond .fit(X, y).predict(X)

Scikit-learn has long been the go-to library for predictive modeling, but data science is much more than just training models. In this talk, we’ll explore new tools that enhance the entire machine learning workflow—from data preparation with skrub, to experiment tracking with skore, to production-ready model deployment with skops. Expect demos, insights, and a fresh perspective on how the scikit-learn ecosystem is evolving. 👩‍💻 Speakers: Marie Sacksick (Product Engineer @ Probabl., WiMLDS Paris) Guillaume Lemaître (Open-Source Engineer @ Probabl.)

AI Coding Agents and How to Code Them

AI coding agents promise a new paradigm in software development, going beyond simple autocomplete to autonomous task execution. In this talk, we’ll break down what makes them different from traditional coding assistants, showcase live coding examples, and explore how they might shape the future of programming. By the end, you’ll be ready to integrate AI agents into your workflow—starting now. 🧑‍💻 Speaker: Alex Shershebnev (Head of ML/DevOps @ Zencoder) Join us for a deep dive into the future of machine learning and AI-powered coding, and don’t miss the chance to network over an aperitivo after the talks! 🔗 Register now and spread the word! 🚀

PyDataMilano #MachineLearning #AI #ScikitLearn #DataScience #AIAgents