Machine learning

MLOps 101: Platforms and Processes for Building AI | NVIDIA GTC

Building Agentic Applications with Spring AI • Matthew Meckes • GOTO 2025

[ИАД, весна 2026] Введение в машинное обучение. Лекция 8: Метрические методы машинного обучения

[ИАД, весна 2026] Introduction to Machine Learning. Lecture 8: Metric Methods of Machine Learning

MASTERCLASS MINT 2026 | Sébastien Gerchinovitz | March 26, 2026

Les 16 commandements pour économiser des tokens et rendre l'IA plus performante

The 16 commandments for saving tokens and making AI more efficient

Machine Learning 5 [Even Semester 2025/2026 Telyu] - Exploratory Data Analysis (EDA)

Google dévoile Gemma 4 : le modèle ouvert le plus intelligent à ce jour !

Crée un chatbot téléphonique intelligent avec Genspark 3 !

Create a smart telephone chatbot with Genspark 3!

68-я Всероссийская научная конференция МФТИ, ФПМИ — Секция проблем ИАД, поток 3

68th All-Russian Scientific Conference MIPT, FPMI — Section on IAD problems, stream 3

MLT - Week 8 | Session- 2

68-я Всероссийская научная конференция МФТИ, ФПМИ — Секция проблем ИАД, поток 2

68th All-Russian Scientific Conference of MIPT, FPMS — Section on IAD Problems, stream 2

68-я Всероссийская научная конференция МФТИ, ФПМИ — Секция проблем ИАД, поток 1

68th All-Russian Scientific Conference of MIPT, FPMI — Section of IAD Problems, stream 1

MLT | Week-8 | Session-1

Lec 47: Self-Supervised Learning

[ИАД, весна 2026] Введение в машинное обучение. Лекция 7: Вероятностные модели машинного обучения

[IAD, Spring 2026] Introduction to Machine Learning. Lecture 7: Probabilistic Models of Machine Learning

[IS] Quantum Machine Learning – Foundations, Methodologies, and Real-World Applications

"Efficient Finetuning of Large Language Models via Large-Width Analysis" - Soufiane Hayou

NVIDIA Nemotron Unpacked: Build, Fine-Tune, and Deploy Open Models From NVIDIA

HAI Seminar: Predicting Child Labor in Ghana's Cocoa Industry

How to Run TurboQuant - "Lossless" Quantization for Local AI TESTED ✅

How to finetune LLMs on custom data domains (CPT tutorial with Unsloth)

MLT | Week-7 | Session-2

Universal Speech Content Factorization - Henry Li Xinyuan

World Models for AI

MLT | Week-7 | Session-1

AI Foundations for Absolute Beginners

CompACT para robots, Epistemic Neural Networks para RLHF, Online Experiential Learning

New Self Improving Hyperagents Break Limits Of AI

MLT | Week-6 | Session-2

Ton Claude Code oublie TOUT ? Tout savoir sur sa mémoire ! (Guide complet)

Your Claude Code forgets EVERYTHING? Everything to know about its memory! (Complete guide)

[Generative AI in Urdu/Hindi] Lecture 22: Pre-training objectives of BERT

MENACE | Ironman C1.E06

MLT | Week-5 | Session-2

Dr. Shruti Mishra | Reinforcement learning in fluid mechanical environments

Agent Teams Claude : automatisez tout, facturez plus!

AI Consultants Who Code Claude Team AI Agents Are Winning This New Market!

How Linear Algebra Powers Machine Learning (ML)

[ИАД, весна 2026] Введение в машинное обучение. Лекция 6: Методология машинного обучения

[IAD, spring 2026] Introduction to Machine Learning. Lecture 6: Machine Learning Methodology

Reinforcement Learning via Self-Distillation

MLP Live session

La nouvelle IA de Google révolutionne les maths… Elle invente ses propres algorithmes !

Google's new AI revolutionizes math... It invents its own algorithms!