Association for Computing Machinery (ACM) Courses

Learning Symbolic Equations with Deep Learning

Explore deep learning techniques to extract symbolic equations from Graph Neural Networks, with applications in physics and cosmology. Discover novel analytic formulas and improve model interpretability.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Supreme Court's Van Buren Ruling on the CFAA - Implications and Analysis

Explore the Supreme Court's Van Buren ruling on CFAA with legal experts, discussing its implications for access, privacy, and technology policy.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

Automated Implementation of Windows-Related Security-Configuration Guides

Explore automated implementation of Windows security guides using NLP and verification techniques. Learn about extraction, research questions, and current limitations in this field.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

The Big Promise of Big Data Analytics - ACM WomENcourage 2020

Explore intelligent data tools bridging users and data. Learn about natural language queries, clarifications, and recommendations for effective data exploration and analysis.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

AI- From Algorithms to Ethics - ACM WomENcourage 2020

Explore AI agents designed for human interaction, combining machine learning, behavioral models, and game theory. Learn about applications in emergency triage and evaluation methodologies.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Internet Pioneer Vint Cerf on ARPANET, TCP/IP, and the Future of Computing

Vint Cerf discusses Internet history, from ARPANET to modern challenges, offering insights on network architecture, security, and the future of computing technology.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

KDD 2020: Robust Deep Learning Methods for Anomaly Detection

Explore robust deep learning techniques for anomaly detection, focusing on auto-encoders and their applications in video surveillance and image analysis.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Deep Learning for Search and Recommender Systems in Practice

Explore deep learning techniques for search and recommendation systems, covering document retrieval, ranking, personalization, and evaluation metrics. Learn about pointwise, pairwise, and listwise ranking approaches.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Deep Learning for Search and Recommender Systems in Practice - Part 2

Explore advanced techniques in deep learning for search and recommender systems, focusing on practical implementation and real-world applications at LinkedIn.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Deep Learning for Search and Recommender Systems in Practice - Part 1

Explore practical applications of deep learning in search and recommender systems, focusing on query understanding, candidate retrieval, and ranking techniques.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Overview and Importance of Data Quality

Explore data quality's crucial role in machine learning, covering challenges, metrics, cleaning techniques, and strategies for handling imbalanced datasets in enterprise settings.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

KDD 2020- Learning by Exploration-Part 2

Explore advanced techniques in online learning, including graph Laplacian regularization, social influence modeling, adaptive clustering, and particle Thompson sampling for improved exploration and personalization.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Learning with Small Data - Part 2

Explore machine learning techniques for small datasets, combining domain knowledge with ML models to enhance predictions and leverage unlabeled data for improved accuracy.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Scientific Text Mining and Knowledge Graphs - Part 2-1

Explore scientific text mining and knowledge graphs, focusing on phrase mining, named entity recognition, and meta-pattern mining for information extraction in various domains.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Scientific Text Mining and Knowledge Graphs

Explore scientific text mining and knowledge graphs, focusing on sequence labeling, multi-output models, and ensemble learning for information extraction and table component analysis.

• YouTube
• 34 minutes
• Self-Paced
• Free Video