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Explore strategic classification and automated mechanism design with ACM's concise program. In under an hour, delve into optimization, feature space, and future research.
Explore assembly engineering with a data science lens in this ACM-offered program. Learn about crystallization, computer simulations, data visualization, and machine learning in under an hour.
Learn to develop Linux apps on Windows with ACM's short program. Explore the Windows Subsystem for Linux, Windows Terminal, Docker, and more with live demos.
Explore computational thinking, abstractions, and their uses in computing with ACM's Turing Lecture. Learn from experts Alfred Aho and Jeffrey Ullman in a 1-2 hour session.
Explore statistical and task modeling cultures in data learning with ACM's under 1-hour material. Taught by AI expert Adji Bousso Dieng, it highlights AI breakthroughs and experimental design.
Explore the intersection of deep learning and software engineering with ACM's webinar. Learn about the current state of research, challenges, and future directions in under an hour.
Explore scientific text mining and knowledge graphs with ACM's online material. Learn phrase mining, named entity recognition, and meta-pattern mining in under an hour.
Learn scientific text mining and knowledge graphs from ACM in less than an hour, with a focus on sequence labeling, ensemble learning, and system pipeline.
Learn to diagnose COVID-19 from respiratory sound data in less than an hour with ACM's expert-led program. Explore symptom correlation, data collection, and experimental setup.
Learn to match user questions to COVID-19 FAQs using transfer learning in less than an hour with ACM's expert-led program.
Explore the impact of hospital capacity and social isolation on disease propagation with ACM's short simulation-based study, led by experts Shaon Bhatta Shuvo, Bonaventure C. Molokwu, and Ziad Kobti.
Learn about the intersection of machine learning and earth sciences in less than an hour with ACM's concise program. Topics include climate change, geoengineering, and protein folding.
Dive into graph mining with ACM's concise program. Learn about node and graph representations, challenges of graph data, and the impact of Graph Neural Networks (GNNs).
Explore transfer learning with ACM's concise program. Learn about pre-training, BERT, span-based pre-training, and future trends like few-shot learning in under an hour.
Dive into transfer learning with ACM's concise program. In under an hour, explore deep learning, few-shot learning, prototypical networks, and more with Hugo Larochelle.
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