Recent content on FaangTalk
Podcast Overview
Recent content on FaangTalk
Language
🇷🇺
Publishing Since
10/8/2024
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Recent Episodes
October 8, 2024
#FaangTalk 70 - Personalized News Feed | Разбор кейса ML System Design Interview
<p><a href="https://www.youtube.com/live/ZY6NbHMYdLk">#FaangTalk 70 - Personalized News Feed | Разбор кейса ML System Design Interview</a></p> <p>Обсуждаем главу 10 Personalized News Feed из книги ML System Design Interview от Алекса Ксю. В гостях Павел Елизаров</p> <p>Chapters</p> <p>00:00 Введение в ML System Design Interview</p> <p>02:50 Этапы интервью и условия задачи</p> <p>06:05 Определение метрик и целей системы</p> <p>08:57 Сигналы пользователей и их влияние на персонализацию</p> <p>12:09 Явные и неявные сигналы пользователей</p> <p>15:52 Метрики вовлеченности и их значение</p> <p>19:34 Серендипити: Счастливые случайности в контенте</p> <p>23:22 Явные и неявные сигналы в контенте</p> <p>30:16 Фичи и их роль в рекомендательных системах</p> <p>31:44 Построение рекомендательных систем</p> <p>38:12 Фичи постов и их анализ</p> <p>43:01 Фичи пользователей и их влияние</p> <p>46:43 Моделирование и оценка результатов</p> <p>47:12 Оптимизация нейронных сетей и многозадачность</p> <p>49:43 Методы обучения и адаптации моделей</p> <p>51:48 Функции потерь и их применение</p> <p>54:04 Оценка моделей и метрики</p> <p>56:39 Оптимизация вычислительных ресурсов</p> <p>59:18 Сервинг моделей и этапы обработки данных</p> <p>01:01:35 Модели и новые типы контента</p> <p>01:04:28 A/B тестирование и его значение</p> <p>01:15:34 Персонализированные рекомендательные системы</p> <iframe width="560" height="315" src="https://www.youtube.com/embed/ZY6NbHMYdLk?si=i8R_jPn4qBkep3Vy" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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