Introduction to Machine Learning | Episode 2 скачать в хорошем качестве

Introduction to Machine Learning | Episode 2

🎙 Join DeepStation for an exciting session on "Introduction to Machine Learning | Episode 2" featuring Leandro Lima, Machine Learning Engineer at Block (known for Square and Cash App), formerly MLE at Meta, and a PhD in Computer Science! 👇 Follow along here: Website: https://www.interactive-ml.com/ GitHub: https://github.com/lelimat/interactiv... 💻 Building on the concepts from Episode 1, Leandro takes us from theory to practice with hands-on coding demonstrations. You'll explore the famous Iris dataset while implementing logistic regression and K-nearest neighbors algorithms using Python and Jupyter notebooks. This session bridges the gap between understanding ML concepts and actually building working models. 💡 Session Highlights: 🔹 Live coding walkthrough of classification algorithms using scikit-learn 🔹 Hands-on implementation of logistic regression and K-nearest neighbors (KNN) 🔹 Complete ML workflow: data exploration, model training, testing, and performance comparison 👤 Bio: Leandro Lima is a PhD with a background in Computer Science and several years of experience in AI/ML. After spending 2 years at Meta, he recently joined Block (Square/Cash App) where he has worked with Personalization ML, LLMs and Block's AI agent (Goose). He was also a CS lecturer for 4 years in Brazil. 🎓 Perfect for aspiring data scientists, developers curious about ML, and anyone wanting to move from ML theory to practical implementation. Basic Python knowledge recommended but not required.