Building an Automation First Data Science Team - Dr. Greg Michaelson
Explore strategies for building an effective data science team that leverages automation, balancing skilled professionals and citizen data scientists for successful AI implementation.
Data Science for Health and Wellness - Dr. Robert Haslinger
Explore data science's role in health and wellness, covering physiological data analysis, user experience, AI applications, and ethical considerations in leveraging biometric information.
A Tool for Data Scientists, Decision Makers, and Journalists to Assess Fairness in ML Models
Explore a tool for assessing fairness in ML models, focusing on recourse in classification decisions. Learn to audit models and empower individuals affected by automated decisions.
Data Efficiency Through Transfer Learning - Eddie Du
Explore data-efficient transfer learning techniques to overcome limited training data, including instance-based approaches and differentially private aggregation for enhanced model performance and privacy preservation.
Leading Data Science Teams - A Framework to Help Guide Data Science Project Managers - Jeffrey Saltz
A framework for data science project managers covering team formation, analytical solution processes, and risk management. Focuses on effective project execution rather than specific algorithms.
Data Science + Design Thinking - Perfect Blend to Achieve the Best User Experience - Michael Radwin
Blend data science with design thinking to create AI/ML products that prioritize customer needs, using empathy, experimentation, and rapid prototyping for optimal user experience.
Mission Analytics - Common Pitfalls and How to Avoid Them - Delin Shen
Explore common pitfalls in mission analytics and learn strategies to avoid them, focusing on mindset shifts, talent mix, project phasing, and scaling challenges in data-driven organizations.
Kubeflow and Beyond - Automation of Model Training, Deployment and Testing
Automate ML workflow: data gathering, model training, deployment, testing, and production inferencing with a single command. Streamline the process for efficient continuous delivery.
State of the Art Natural Language Understanding at Scale - David Talby
Explore state-of-the-art NLP techniques using Apache Spark, covering core algorithms, distributed pipelines, and performance optimizations for large-scale language understanding applications.
Building an Image Search Service from Scratch - Matthew Rubashkin, PhD - ODSC West 2018
Learn to build a semantic image search model from scratch, covering representation techniques for image and text data, and efficient similarity search methods for datasets of any size.
Behind the Scenes of Scikit-Learn with Core Contributor Thomas Fan at ODSC West WarmUp Event
Explore Scikit-Learn's evolution, technical aspects, and future with core contributor Thomas Fan. Gain insights into open-source collaboration, industry applications, and machine learning advancements.
The Future of Data Science Notebooks Is Collaborative
Explore the evolution of data science notebooks, their challenges, and the future of collaborative tools for modern data scientists. Learn about key trends and opportunities in this rapidly evolving field.
An Introduction to Event Data Modeling in Cloud Data Warehouses - Nienke Bos
Explore event data modeling in cloud data warehouses, focusing on benefits, user journeys, and practical examples. Learn to create a single source of truth for data-driven business decisions.
Actionable Ethics for Data Scientists - Emily Miller
Explore ethical considerations in data science, covering data collection, storage, analysis, and modeling. Learn practical strategies to address ethical challenges in your work.
Creating a Systems Change Approach for Data Science AI Solutions
Explore a systems change approach for data science and AI solutions with Jake Porway, focusing on the Data for Good movement and leveraging technology for social impact.
Smart Technologies in Enhancing Browsing Experiences - Zona Kostic
Explore smart technologies enhancing browsing experiences through data visualization, interactive visualization, VR/AR, and visual analytics. Learn about human-machine communication and complex visualization techniques.
Making Robust Business Decisions with Sparse Data - Sarah Jarvis, PhD | ODSC Europe 2019
Explore data-efficient solutions for supply chain management, focusing on forecasting with limited data and making robust decisions in complex, dynamic systems.
Analysis and Visualization Techniques for Environmental IoT Systems
Explore environmental IoT data analysis techniques, from edge node sensor analytics to historical and online data processing, with practical tools and visualizations for deeper insights.
Using Your Powers for Good - Data Science in the Social Sector
Explore data science applications in the social sector, including disaster relief and education. Learn techniques like logistic regression and ensemble building for impactful machine learning projects.
Usama Fayyad at ODSC Boston 2015 - From Big Data to Data Science
Explore the evolution from Big Data to Data Science with Usama Fayyad, focusing on predictive analytics in a changing data landscape and its impact on business growth and competitive advantage.
Gael Varoquaux at ODSC Boston 2015 - Scikit-Learn for Easy Machine Learning
Explore machine learning with scikit-learn: its popularity, capabilities, and future. Learn about easy predictive analysis, development process, and exciting new features in this data science ecosystem.