Social And Emotional Learning Courses

VEEGAN - Reducing Mode Collapse in GANs Using Implicit Variational Learning

Learn about VEEGAN, an innovative approach to reduce mode collapse in Generative Adversarial Networks (GANs) using implicit variational learning, with practical examples and results.

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

Deep Reinforcement Learning for Object Tracking

Explore action-driven object tracking using deep reinforcement learning, covering policy, value functions, and training approaches for improved visual tracking performance.

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

Understanding Photos of People Using Social Context

Explore social context's role in understanding photos of people, including pose, relationships, gender, and location, for enhanced image analysis and interpretation.

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

Ethical Hacking for Mobile Phones, Facebook & Social Media!

724 ratings at Udemy

Complete Guide to systems, phones and Facebook hacking with Kali Linux, using client exploitation techniques.

• Udemy
• 1 hour 38 minutes
• Self-Paced
• Paid Course

Machine Learning and Optimization for Understanding Spatiotemporal Systems

Explore advanced machine learning and optimization techniques for analyzing spatiotemporal systems with MIT's Dr. Xinyu Chen, focusing on practical applications and methodological innovations.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Utilizing Mathematical Structures for Efficient Machine Learning

Explore mathematical structures that enhance machine learning efficiency with Dr. Wu Lin from Vector Institute in this insightful talk.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Learning to Learn Under Uncertainty

Discover advanced machine learning techniques for handling uncertain data and adaptive learning systems in complex environments.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Towards Scalable and Privacy-Preserving Graph Learning via System-aware Algorithm Design

Discover system-aware algorithm design for scalable, privacy-preserving graph learning in this technical presentation by H. Yin from University of Central Florida.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Embracing Change - Tackling In the Wild Shifts in Machine Learning

Explore advanced strategies for handling real-world machine learning model shifts and adaptations, focusing on practical solutions for maintaining model performance in dynamic environments.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Towards Efficient Learning Under Label Noise

Explore advanced techniques for machine learning model optimization when dealing with noisy or imperfect data labels, focusing on efficient algorithms and practical implementation strategies.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Structuring Cooperative Teams for Multi-Agent Reinforcement Learning

Explore advanced strategies for organizing cooperative teams in multi-agent reinforcement learning environments, focusing on structural optimization and team dynamics.

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

Optimization for Fairness-aware Machine Learning

Explore optimization techniques for implementing fairness in machine learning systems, focusing on algorithmic approaches and ethical considerations in AI development.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Learning to Forget in Text-to-Image Diffusion Models - Paper 8

Explore techniques for selectively removing concepts from text-to-image diffusion models while preserving overall model capabilities and performance.

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

SocialCounterfactuals: Probing and Mitigating Intersectional Social Bias with Counterfactuals

Explore how counterfactuals can be used to probe and mitigate intersectional social bias in AI systems, examining innovative techniques for creating more equitable technology.

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

Quantum Computing and Quantum Machine Learning - Part 1

721 ratings at Udemy

Foundational Course for Quantum Computing and Quantum Machine Learning

• Udemy
• 2 hours 33 minutes
• Self-Paced
• Paid Course