
Explore online learning and bandit algorithms with experts from DeepMind and CWI. Gain insights into gradient descent, exponential weights, and regularized leader methods for reinforcement learning.

Practical tips and learnings for conducting virtual fieldtrips, including preparation, teaching methods, and assessment strategies for geology students.

Delve into online learning algorithms and performance quantification through mistake bound analysis, focusing on practical implementation strategies and evaluation methods.

Delve into online learning algorithms and performance quantification through mistake bound analysis, focusing on practical implementation strategies and evaluation methods.

Explore advanced online learning techniques for optimizing network resource allocation, focusing on caching strategies, inference delivery networks, and fairness in unpredictable environments.

Explore online learning of social representations with DeepWalk, a groundbreaking approach to understanding social networks and graph structures.

Explore innovative algorithms for online learning with expert advice, focusing on sub-linear memory solutions and their implications for sequential decision-making.

Explore cutting-edge research in sequential learning, covering robust reinforcement learning, online learning in MDPs, fairness in predict-then-optimize settings, and constrained POMDPs.

Explore the power of cooperation in agent networks for enhanced learning, focusing on performance bounds and online learning scenarios.

Explore advanced reinforcement learning techniques for HVAC systems, focusing on adaptive policy regularization methods that bridge offline and online control strategies.

Discover how the University of Helsinki is revolutionizing APL programming education through an innovative online learning platform designed to inspire and educate the next generation of developers.

When Machines Learn and Answer Better than Humans: What Is University Education For? In this insightful talk at TEDx University of Wah, Dr Mohsin Zahid challenges traditional assumptions about higher education in an era where artificial intelligence can outperform humans in learning and problem-sol

When classrooms fall silent, learning does not disappear. It adapts. This talk explores how education survives during crisis by becoming flexible, decentralized, and human. When schools close, electricity fails, and movement is restricted, learning shifts into basements, living rooms, shared devices

When internet connections fail, screens freeze, and classrooms disappear, learning does not end. It changes shape. This talk challenges common assumptions about e-learning by showing how participation, ownership, and understanding can actually grow online. From quiet students finding their voices in

NOTE FROM TED: TEDx events are independently organized by volunteers. The guidelines we give TEDx organizers are described in more detail here: http://storage.ted.com/tedx/manuals/tedx_content_guidelines.pdf Kruger School nació de una experiencia personal, y en medio de una realidad de constante ca

обучение Cinema 4D (курсы, интенсивы, персональные занятия) - https://designar.ru/courses_and_intensives поддержка канала: https://boosty.to/arleksey/donate
![[СТРИМ] "Сложности в обучении CG" - стрим с Ильёй Капустиным](https://i.ytimg.com/vi/ytvPlIZFzUw/hqdefault.jpg)
Таймкоды: 00:00 Ожидание 06:28 Начало презентации 44:44 Обсуждение обучения Гудини и Синемы 57:28 Ответы на вопросы Мой канал: https://t.me/designar_ru Канал Ильи: https://t.me/ikapustin_c4d ссылка на презентацию: https://docs.google.com/presentation/d/1rkkw_a9Qiuy5XQ-cCHTPb0qDrZ0AogGFWiSm0tMLp0w