Health Research Fundamentals
Learn essential health research methods, from study design to data analysis, ethics, and protocol development for effective medical investigations.
ArcGIS Field Maps
ArcGIS Field Maps allows mobile workers to view their maps in the field, collect data, find assets and track their location on iOS and Android devices.
Learning Controllers - From Engineering to AGI
Exploring deep reinforcement learning for autonomous control systems, from fusion plasma to robotics, with a focus on data-efficient methods for real-world applications.
Sustaining India’s Hidden Water Resource
Empowering villagers as groundwater champions through training, capacity building, and technology like MyWell App for sustainable groundwater management in India.
ArcGIS Survey123
Learn to create, share, and analyze smart surveys with ArcGIS Survey123. Master form creation, data collection, and result analysis for streamlined projects across various industries.
Methods of Qualitative Research II
Advance your qualitative research skills with in-depth exploration of advanced methodologies, data analysis techniques, and ethical considerations in this comprehensive one-day program.
Stanford Seminar - Algorithmic Extremism- Examining YouTube's Rabbit Hole of Radicalization
Examination of YouTube's recommendation algorithm, challenging claims of far-right radicalization. Data analysis reveals a preference for mainstream media over fringe content, with implications for online political discourse.
Graph Analysis of Russian Twitter Trolls Using Neo4j
Explore graph analysis of Russian Twitter trolls using Neo4j. Learn about data collection, NLP, graph algorithms, and visualization techniques to uncover social media influence patterns.
Stanford Seminar - Zhang Lin on Mobile Urban Sensing in Beijing
Explore mobile urban sensing in Beijing, covering air pollution monitoring, data collection challenges, and innovative solutions for understanding and improving city environments.
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.
Robot Learning in the Era of Large Pretrained Models - Stanford Seminar
Exploring interactive robot learning with large pretrained models, focusing on visual representations, data collection strategies, and leveraging language models for robotics applications.
Diverse Data and Efficient Algorithms for Robot Learning
Explore diverse data collection and efficient algorithms for robot learning, focusing on large-scale approaches and reinforcement learning for deformable object manipulation.
Estimating Indirect Effects in a Wild and Anti-Social Mammal
Exploring indirect genetic effects in wild red squirrels, examining how spatial and temporal neighbors influence phenotypes and potential evolutionary impacts in varying population densities.
The Virtual Lab - Exploring Online Social Experiments
Explore the concept of virtual laboratories in scientific research with Duncan Watts, discussing innovative approaches to data collection and experimentation in the digital age.
Complexity, Privacy, and the Pandemic - Biological Mechanisms for Data Protection
Explore biological mechanisms inspiring computer algorithms to address privacy concerns during pandemics, focusing on "negative selection" for balancing data collection and privacy protection.
Crowdsourced Wearable Data and Citizen Science for Public Health Research
Explore the potential of crowdsourced wearable data and citizen science in advancing public health research, uncovering new insights and methodologies for population-level health monitoring.
Towards Intelligent Fashion Recommendation
Explore intelligent fashion recommendation systems, covering research topics, criteria, databases, and future developments in AI-driven style suggestions.
A Sparsely Labeled Dataset for Action Classification and Localization - SLAC
Explore a novel dataset for action classification and localization, covering data collection, training, validation, and evaluation methods for human action detection.
ML Platform Beyond Kaggle Paradigm - Policy-Centric Approach for End-to-End Automation
Explore a policy-centric approach to ML platforms, extending beyond model-centric views to enhance engineering productivity and directly improve business metrics.
MLOps for Fairness - Creating Comprehensive Fairness Workflows
Explore MLOps techniques for identifying, measuring, and mitigating bias in ML systems at scale. Learn to create comprehensive fairness workflows using Python tools for industry-level challenges.
Building a Scalable Web Scraping API for Large-Scale Data Collection Using FastAPI and Python
Master building a scalable web scraping API for large-scale data collection using FastAPI and Python. Learn deployment steps, multi-core optimization, and practical implementation on Linode's cloud platform.