To thrive, we must learn to imagine creatively, reason systematically, work collaboratively, and learn continuously. Learning Creative Learning (LCL) is a community of educators, designers, parents, and learners exploring creative learning together.
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Creating Cultural Competency
Creating cultural competency book is broken into video chapters that focus on the five developmental orientations of cultural competence, based on the Intercultural Development Inventory (IDI).
Continue readingYou & AI
The Royal Society supported by DeepMind brought the world’s leading thinkers in AI, in order to help build a greater understanding of what machine learning and AI are, how the technology works, and the ways it may affect our lives.
Continue readingNatural Language Processing with Deep Learning
In this course from Stanford University, students will gain a thorough introduction to cutting-edge research in Deep Learning for Natural language processing (NLP).
Continue readingVeritasium
Veritasium is a channel of science and engineering videos featuring experiments, expert interviews, cool demos, and discussions with the public about everything science.
Continue readingMachine & Deep Learning Compendium
The Machine & Deep Learning Compendium contains over 500-topics for people of various proficiency levels, industry data scientists, and academics.
Continue readingDigital Literacy and Citizenship
Open resources that educators and educational leadership can utilize to teach digital literacy and citizenship to students.
Continue readingMachine Learning: Living in the Age of AI
“Machine Learning: Living in the Age of AI,” examines the extraordinary ways in which people are interacting with AI today.
Continue readingKurzgesagt (In a nutshell) YouTube Channel
Kurzgesagt is a YouTube channel that publishes educational videos every week. They cover a range of topics, from astronomy to physics, biology, art, and much more.
Continue readingIntroduction to Deep Learning
Introduction to Deep Learning is a 5 part video lecture series from Adaptive Linear Neurons to Zero-shot Classification with Transformers from Sebastian Raschka.
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