Data Protection Courses

Stanford Seminar - Towards Theories of Single-Trial High Dimensional Neural Data Analysis

Explore high-dimensional neural data analysis, focusing on single-trial theories, task complexity, and latent state recovery. Gain insights into advanced neuroscience concepts and methodologies.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Online Course

MedAI - Training Medical Image Segmentation Models with Less Labeled Data - Sarah Hooper

Innovative semi-supervised method for training medical image segmentation models using minimal labeled data, achieving comparable accuracy to fully supervised approaches while significantly reducing labeling requirements.

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

Rethinking Architecture Design for Data Heterogeneity in FL - Liangqiong Qu

Explores innovative architecture designs for federated learning in medical AI, focusing on Transformers to address data heterogeneity challenges and improve model performance across diverse healthcare institutions.

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

Data-Efficient AI for Accelerating MRI Acquisition

Explore physics-guided AI techniques for accelerating MRI acquisition, including unsupervised and semi-supervised approaches. Learn about a new 1.5TB dataset for evaluating MRI reconstructions with clinically-relevant metrics.

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

Joint Learning Over Visual and Geometric Data

Explore joint learning approaches in visual and geometric domains to reduce supervision load, leveraging data correlations and self-supervision for improved performance and efficiency.

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

Data for the People - Andreas Weigend of Social Data Lab

Andreas Weigend shares his journey from Stanford PhD student to Amazon Chief Scientist, exploring the impact of data on society and consumer behavior. Insights from his book "Data for the People" are discussed.

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

Big Data, Big Impact - Preventing Drug Interactions, Understanding Behavior, and Climate Change

Stanford professors explore data-driven solutions for drug interactions, human behavior, and climate change, showcasing innovative applications of big data in engineering and science.

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

Data Mining - The Tool of the Information Age

Explore, analyze, and leverage data sets of any scale with guidance from Google's Search Scientist in this informative webinar on data mining techniques and applications.

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

Human-Machine Symbiosis in Data Visualization

Exploring human-machine configurations for data visualization tasks, focusing on interactive analysis of event sequence data and visualization authoring through manipulable semantic components.

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

Health Equity Among Native Hawaiians and Other Pacific Islanders - Combating Structural Racism in Data

Explore data disaggregation and inclusion of Native Hawaiians and Pacific Islanders in medical research to combat systemic racism and address health disparities specific to these populations.

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

Stanford Seminar - Intelligence Augmentation Through the Lens of Interactive Data Visualization

Explore interactive data visualization's role in human-machine partnerships, bridging mental models with machine learning, and addressing epistemological challenges in the era of generative AI.

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

Highly Optimized Quantum Circuits Synthesized via Data-Flow Engines

Explore highly optimized quantum circuit synthesis using data-flow engines. Learn about adaptive compression algorithms, efficient gate decomposition, and advanced simulation techniques for improved quantum computing performance.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

Neural Networks in R and the MNIST Data - Lecture 10.R.1

Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.

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

Stanford Seminar 2022 - DeepMind's Perceiver and Perceiver IO: New Data Family Architecture

Exploring DeepMind's Perceiver architecture for flexible AI processing across diverse data types, offering domain-general solutions comparable to specialized models in various tasks.

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

Inequality in Healthcare: Using AI and Data Science to Reduce Disparities

Exploring AI and data science applications to address healthcare inequality, featuring insights from experts on challenges and potential solutions in improving healthcare access and outcomes.

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