Machine learning

Machine Learning 4 [Odd Semester 2026/2027 Telyu] - Decision Trees & K-Nearest Neighbors

Dataset Engineering for LLMs - AI Engineering

REGRESSION | MACHINE LEARNING | LECTURE 05 BY DR. ANURADHA TALUJA | AKGEC

MLT | Week-1 | Summary and Solve with us

Entrenar modelos de lenguaje sin datos

Training language models with zero data

OpenAI Just Broke Math With Its Most Powerful AI Yet

[ИАД, осень 2026] Интеллектуальный анализ данных 2

[IAD, autumn 2026] Data Mining 2

Intelligent Systems: Machine Learning seminars

ICM 2026 Invited Section Lecture - Moritz Hardt

Sequential Statistical Methods for Reliable Machine Learning

Mohammed AlQuraishi: How, and What, Does AlphaFold Learn About Protein Structure?

Quantum Machine Learning Workshop - Day 1 (3.10.2026)

Machine Learning 3 [Odd Semester 2026/2027 Telyu] - The Linear Models

How I trained INSANELY fast JEV Decision Models from scratch (architecture deep-dive)

Finetuning LLMs - AI Engineering

[ИАД, осень 2026] Вероятностные тематические модели 2

[IAD, Fall 2026] Probabilistic Topic Models 2

Learning the Equilibrium Operator || Oct 2, 2026

[ИАД, осень 2026] Байесовское мультимоделирование I. Лекция 2

[IAD, fall 2026] Bayesian multi-modeling I. Lecture 2

Zahra Monfared: Dynamical Systems Theory for Deep Learning

What Is Jev? The AI Model That Doesn't Generate Text

[ИАД, осень 2026] Байесовское мультимоделирование I. Лекция 4

[IAD, Fall 2026] Bayesian Multimodeling I. Lecture 4

Aram Ebtekar and Danica Sutherland: Understanding Generalization Requires Universal Induction

Topological Methods: Sign-rank, Littlestone Dimension, Disambiguations, and more by Ari Blondal

FCAI webinar: AI in Robotics and Autonomous Vehicles

Machine Learning 2 [Odd Semester 2026/2027 Telyu] - The Linear Models

Eugene Vinitsky: Robust Autonomy Emerges from Self-Play (2026-03-26)

MlSec journal club: Catastrophic Failure of LLM Unlearning via Quantization

Machine Learning 1 [Odd Semester 2026/2027 Telyu] - Introduction to Machine Learning

Takaharu Yaguchi - Geometric-Structure Machine Learning; Cross-System Prediction Hamiltonian Systems

Robert Joseph George - Verified Scientific Machine Learning in Lean - IPAM at UCLA

[ИАД, осень 2026] Вероятностные тематические модели 1

[IAD, Fall 2026] Probabilistic Topic Models 1

How AI Got Smaller And Still Became Smarter

An Optimization Framework for the Well-Conditioned Training of PINNs || Sep 11, 2026

Lec 43: Quantization & LLM Inference Optimization

Lec 42: TensorRT & Hardware Acceleration

Why won’t AI agents just follow the rules?

I Built A Tool To Detect AI Video (You Can Have It)

How AI is transforming weather prediction

Smart Outlier Detection

MLP End Term Revision Session