Machine learning

Hands-on Machine Learning -- Dimensionality Reduction

Talya Eden - Fast Agnostic Learners in the Plane (Heb, online)

MLT - Week 5 + 6

MENSONGE AVÉRÉ : J'ai utilisé l'IA pour vérifier QUI dit la vérité

PROVEN LIE: I used AI to check WHO is telling the truth

Stanford CS230 | Autumn 2025 | Lecture 5: Deep Reinforcement Learning

Week 5_session 2

Ton nouvel outil pour créer des Agents IA (Claude + MCP)

Your new tool for creating AI Agents (Claude + MCP)

BioML Seminar 3.2 - Sarah Gurev on Benchmarking Model Performance on Pandemic-Threat Viruses

[ИАД, осень 2025] Foundation models for spatial-time series. Занятие 6

[IAD, fall 2025] Foundation models for spatial-time series. Class 6

Use N8N To Build A Custom AI-Powered Newsletter

ICL Ciphers: Quantifying "Learning’’ in In-Context Learning via Substitution Ciphers-EMNLP 2025 main

Week 5 session

[ИАД, осень 2025] Методы глубокого обучения. Занятие 8: Multi-armed Bandits, Monte Carlo Methods

[IAD, fall 2025] Deep learning methods. Class 8: Multi-armed Bandits, Monte Carlo Methods

Recurrence-Complete Frame-Based Action Models.

Machine learning enabled manoeuvre detection from synthetic observations | František Dráček

Aditya Varre: Learning In-context n-grams with Transformers: Sub-n-grams Are Near-stationary Points

Revision session_Week 3, 4

Pruning decision trees

Impurity measures for decision trees classifiers

Ensemble models with decision trees: bagging, random forests, extra trees, boosted trees

Victor Manuel Vargas: “Reducir errores de la IA en diagnóstico por imagen”

Interview with Víctor Manuel Vargas, SCIE–BBVA Foundation Research Award 2025

Formalisation mathématique et apprentissage machine dans la création musicale - C.-E. Cella

Mathematical formalization and machine learning in musical creation - C.-E. Cella

Deploying Continental R&D’s First Predictive ML Model | Claudia Peñaloza, Continental Tires

Causality-Based Learning || Extreme Event Aware (η-) Learning || Oct 24, 2025

Algoritmos de estimación de distribuciones en estadística y aprendizaje automático

Distribution estimation algorithms in statistics and machine learning

[ИАД, осень 2025] Вероятностные тематические модели. Лекция 7

[IAD, autumn 2025] Probabilistic topic models. Lecture 7

Observability Panel | Galileo, DraftKings, Target Corporation, PIMCO | MLOps World 2025

Michelangelo (Uber’s ML Platform): Going Open Source | Sally Lee & Eric Wang, Uber

Idan Mehalel - A Tight Lower Bound for Non-stochatic Multi-armed Bandits with Expert Advice (Heb)

How to Train Your Agent: Building Reliable Agents with RL | Kyle Corbitt, OpenPipe

Algoritmos de estimación de distribuciones en estadística y aprendizaje automático

Distribution estimation algorithms in statistics and machine learning

Soledad Villar — Algebraic techniques for machine learning (Sept. 26, 2025)

Keynote: Machines, Learning, and Machine Learning - Dylan Beattie - NDC Porto 2025

Guide complet n8n et Claude : Créer tes AGENTS IA en 1 clic

Complete n8n and Claude guide: Create your AI AGENTS in 1 click

[ИАД, осень 2025] Математические методы прогнозирования. Лекция 5

[IAD, Fall 2025] Mathematical Forecasting Methods. Lecture 5

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 4 - LLM Training

Investigación con consumidores sintéticos, RLMs, StreamingVLM

Research with synthetic consumers, RLMs, StreamingVLM

The Efficiency Equation: Leveraging AI Agents to Augment Human Labelers | Madhu Ramanathan, Meta

Machine Learning Explained: A Guide to ML, AI, & Deep Learning

From Benchmarks to Reality: Embedding HITL in Your MLOps Stack | Micaela Kaplan, HumanSignal