Machine learning

Workshop Day 2_Sep 2025

[ИАД, осень 2025] Математические методы прогнозирования. Лекция 2

[IAD, Fall 2025] Mathematical Forecasting Methods. Lecture 2

[ИАД, осень 2025] Байесовское мультимоделирование. Лекция 1

[ИАД, осень 2025] Bayesian multimodeling. Lecture 1

MLT workshop_Sep 25(day 1)

Muon - Part 3

Kaggle Competition Review -- CMI - Detect Behavior with Sensor Data

Hands-On Machine Learning -- Support Vector Machines

AZR : l’IA qui apprend toute seule — avec David Gurlé

AZR: AI that learns on its own — with David Gurlé

A visual guide on Reinforcement Learning - the 6 things that makes it “click”

[ИАД, осень 2025] Foundation models for spatial-time series. Занятие 1

[IAD, fall 2025] Foundation models for spatial-time series. Class 1

[ИАД, осень 2025] Вероятностные тематические модели. Лекция 1

[IAD, Fall 2025] Probabilistic Topic Models. Lecture 1

Stanford CS329H: Machine Learning from Human Preferences | Autumn 2024 | Introduction

Critical Choices: AI in Disaster Management and Healthcare

Cloning Paid Apps To Avoid Paying For Them

[ИАД, осень 2025] Математические методы прогнозирования. Лекция 1

[IAD, autumn 2025] Mathematical methods of forecasting. Lecture 1

n8n's Agent Builder Somehow Made Building Agents Even Easier (text to workflow)

ARC AGI, ML News, and Computer Vision Workshop 4

Muon - Part 2

Peter BARTLETT C6

Peter BARTLETT C5

Peter BARTLETT C4

Peter BARTLETT C2

Guide to Agentic AI – Build a Python Coding Agent with Gemini

Stanford CS231N | Spring 2025 | Lecture 12: Self-Supervised Learning

Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training

Cómo compran los agentes AI, R1-Zero con inspiración GAN, DeepConf y entropía de tokens

How AI agents buy, R1-Zero with GAN inspiration, DeepConf and token entropy

Revision session 2 - Week 11 &12

Muon - Part 1

Machine Learning & Health: Predict, Diagnose, Innovate for Better Care

End Term | Doubt Clearing Session

Dr. Gaël Varoquaux | Keynote: Judging uncertainty from black-box classifiers

End term revision Week 9, 10

Lecture 5: Anomaly Detection in Biomedicine, from Statistics to Deep Learning , Aug 26, 9:45 MX

Thomas Chen: Non-Asymptotic Length Generalization

Nirmit Joshi: A Theory of Learning with Autoregressive Chain of Thought

Lecture 2: Interpretability and Robustness of ML/AI - Aug 25, 11:00 MEX 19:00 GER

Interview: Deepfake Detection and the Future of AI with Hany Farid | Particles of Thought

Hands-On Machine Learning -- Training Models

Week 11 & 12 Solve with us

Week 12 theory