Data Protection Courses

Dancing Cells - Efficient Data Structures for Combinatorial Problem Solving

Explore efficient data structures for combinatorial problem-solving with Dr. Don Knuth's lecture on "Dancing Cells," an evolution of the "Dancing Links" concept, offering improved performance in algorithmic exploration.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Free Video

Harnessing Data for Social Impact - Empowering Communities through Visualization and Social Computing

Explore innovative tools combining visualization, HCI, and AI to empower communities in addressing complex societal issues like urban planning and climate change, fostering inclusive decision-making.

• YouTube
• 58 minutes
• On-Demand
• Free Video

How Can Privacy Exist in a Data-Driven World? - Stanford Seminar

Exploring privacy in a data-driven world through transparency tools, user studies, and artistic collaborations to reframe privacy as a societal value.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Data Compression - Video Compression - Lecture 18

Explore video compression techniques, including motion estimation and compensation, in this Stanford lecture on advanced data compression methods for efficient multimedia storage and transmission.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Data Compression I - Course Introduction and Lossless Compression Basics - Lecture 1

Introduction to lossless data compression fundamentals, covering key concepts and techniques for efficient information storage and transmission.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Data Compression I - Lecture 5: Asymptotic Equipartition Property

Explore the Asymptotic Equipartition Property in data compression, a fundamental concept for understanding information theory and efficient coding techniques.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Data Compression I - Lecture 4: Huffman Codes

Explore Huffman coding, a fundamental data compression technique, in this Stanford lecture. Learn its principles, implementation, and applications in information theory.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Data Compression I - Lecture 3: Kraft Inequality, Entropy, and Introduction to SCL

Explore Kraft Inequality, entropy, and Source Coding Limit in data compression. Gain insights into fundamental concepts and their applications in information theory and coding.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Stanford EE274: Data Compression - Beyond IID Distributions: Conditional Entropy - Lecture 8

Explore conditional entropy and advanced data compression techniques beyond IID distributions in this Stanford lecture, enhancing understanding of complex information theory concepts.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Arithmetic Coding - Stanford EE274 Data Compression I Lecture 6

Explore arithmetic coding in data compression, covering theory and applications. Learn from Stanford experts about this advanced technique for efficient information encoding.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Asymmetric Numeral Systems (ANS) - Data Compression Lecture 7

Explore Asymmetric Numeral Systems (ANS), an advanced data compression technique, in this Stanford lecture. Gain insights into its principles, applications, and advantages in modern compression algorithms.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Integrating Pathology Images and Genomics Data for Cancer Grading

Innovative AI methods for integrating pathology images and genomics data to enhance cancer grading accuracy, addressing modality challenges and improving performance when genomics data is missing.

• YouTube
• 48 minutes
• On-Demand
• Free Video

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
• On-Demand
• Free Video

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
• On-Demand
• 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
• On-Demand
• Free Video