United States Courses & Certifications

Human-Centered AI for Mental Health Prediction in Social Media Data

Exploring human-centered machine learning for ethical and compassionate mental health predictions on social media, combining Media Studies and Computer Science approaches.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Heart Transplant 2023 Virtual Symposium - Stanford Health Care

Annual symposium providing updates on heart transplantation, featuring expert talks on medical advancements, patient experiences, and the gut microbiome's role in health. Offers valuable insights for recipients and caregivers.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Heart Transplant 2023 Virtual Symposium - Stanford Health Care

Annual symposium providing updates on heart transplantation, featuring expert talks on medical advancements, patient experiences, diet-gut microbiome connection, and physical therapy for transplant recipients.

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

Deep Generative Models - Autoregressive Models - Lecture 3

Explore autoregressive models in deep learning, focusing on their architecture, training, and applications in generating sequential data like text and images.

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

Deep Generative Models - Discrete Latent Variable Models - Lecture 17

Explore discrete latent variable models in deep generative modeling, covering key concepts and applications in AI and machine learning.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Stanford CS236: Deep Generative Models - Lecture 13 - Score Based Models

Explore score-based models in deep generative modeling, covering theoretical foundations and practical applications in this advanced Stanford lecture on AI and machine learning.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Deep Generative Models - Lecture 5: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.

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

Stanford CS236: Deep Generative Models - Score Based Diffusion Models - Lecture 16

Explore score-based diffusion models in deep generative modeling, covering theoretical foundations and practical applications in AI and machine learning.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Deep Generative Models - Maximum Likelihood Learning - Lecture 4

Explore maximum likelihood learning in deep generative models with Stanford's Stefano Ermon. Gain insights into advanced AI techniques and their applications in this comprehensive lecture.

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

Deep Generative Models - Diffusion Models for Discrete Data - Lecture 18

Explore diffusion models for discrete data in this Stanford lecture, covering advanced techniques in deep generative modeling for AI applications.

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

Deep Generative Models - Lecture 2: Background

Explore fundamental concepts and background for deep generative models, covering essential topics to build a strong foundation in this advanced machine learning field.

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

Deep Generative Models - Energy Based Models - Lecture 12

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights into this powerful approach for modeling complex data distributions.

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

Deep Generative Models - Normalizing Flows - Lecture 9

Explore normalizing flows in deep generative models, focusing on their principles, applications, and recent advancements in this Stanford lecture by Prof. Stefano Ermon.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Deep Generative Models - Lecture 10: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

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

Deep Generative Models - Energy Based Models - Lecture 14

Explore energy-based models in deep learning, their applications, and theoretical foundations. Gain insights from Stanford's expert on advanced generative modeling techniques.

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