Zenseact Open Dataset for Advancing Autonomous Driving
Explore the Zenseact Open Dataset's role in advancing autonomous driving technology. Learn about its creation, features, and applications in ongoing research projects.
Clean Architecture: How to Structure ML Projects to Reduce Technical Debt
Structure ML projects using Clean Architecture to reduce technical debt. Learn actionable software engineering principles for data-intensive applications and manage project changes effectively.
Navigating the Challenges of Offer Categorization in E-commerce - Strategies for Accurate and Scalable Classification
Explore strategies for accurate and scalable offer categorization in e-commerce, addressing challenges, leveraging automation, and improving search relevance and product sorting.
Teaching Neural Networks a Sense of Geometry
Explore Topological Data Analysis (TDA) and its intersection with machine learning to enhance neural networks' geometric reasoning abilities across various applications.
Leveraging Open-Source Tools for Building a Quality Data Warehouse
Discover how to build a quality data warehouse using open-source tools. Learn about modern data stack architecture, test-driven approaches, and software development best practices for data transformation.
Building a Data Science Program in Higher Vocational Education
Explore a two-year data science program designed for higher vocational education, featuring industry-aligned courses and modern educational approaches like Discord communities and GitHub portfolios.
Improving Productivity for Building ML Workloads Using Amazon SageMaker Autopilot
Automate ML model training and tuning for customer churn prediction using Amazon SageMaker Autopilot, with deployment and iteration in SageMaker Studio.
Modeling American Sign Language via Linguistic Knowledge Infusion
Explore innovative approaches to modeling American Sign Language, enhancing recognition accuracy and addressing challenges in sign language research through linguistic knowledge infusion.
Staring into the Abyss and Eating Glass - From Academia to Startup
Explore the journey from academia to entrepreneurship with insights on building a sports analytics startup. Gain valuable perspectives on challenges, similarities, and differences between academic and business worlds.
A Gateway to Trustworthy AI: Using Visual Analytics to Unmask Coincidental Correlations
Explore visual analytics techniques to identify and address spurious correlations in AI systems, enhancing trustworthiness and reliability in machine learning and data-driven decision-making.
Visualizing and Analyzing Event Sequence Data
Explore techniques for analyzing event sequence data, including causal inference, deep learning, and generative AI, to extract valuable insights from high-dimensional business process data.
AI at Scale to Understand Impact of Weather on Businesses
Explore how AI scales to analyze weather's impact on business, leveraging historical data to predict demand and inform decision-making across industries.
Quantifying the Uncertainty in Model Predictions Using Conformal Prediction
Learn techniques for quantifying uncertainty in neural network predictions, focusing on conformal prediction as a versatile, statistically rigorous method applicable to classification and regression tasks.
Looking into AI/ML from a Venture Capital Lens
Explore AI/ML investment strategies, trends, and opportunities from a VC perspective, focusing on transformative software and digital infrastructure.
Recommendation Systems for Digital Out of Home Advertising
Explore probabilistic modeling for digital out-of-home advertising content recommendations. Learn strategies for effective ad distribution across digital screens and gain insights into data-driven decision-making for content selection and placement.
How a Robot Called Sophi is Helping Publishers Turbo-charge Their Subscription Revenue
Discover how AI-powered Sophi optimizes content paywalls, boosting subscription revenue for publishers while balancing ad income. Learn about personalized models enhancing user engagement and industry sustainability.
Accelerators Made Easy - Improving MLOps at Loblaw Digital Using Vertex AI
Leverage Vertex AI for efficient matrix multiplication in MLOps. Build scalable recommendation engines using Google Cloud Platform's tools for improved product relevance.
Changing the Face of Parking: Lessons Learned from SpotHero's Intelligent, Dynamic Rate Board
Optimize parking pricing with real-time data and machine learning. Learn how SpotHero revolutionized the $30B parking industry using IoT sensors and ML models for dynamic, minute-by-minute rate adjustments.
Using Constraint Programming to Improve Grocery Picking Efficiency at Loblaws
Explore constraint programming techniques to optimize grocery picking efficiency, reduce costs, and improve profitability in online retail operations.
Fully Automated ML Platform Using Kubeflow and Declarative Approach to End-to-End ML Development
Explore FreshBooks' journey to MLOps maturity using Kubeflow pipelines and a declarative framework, addressing challenges and improving ML pipeline reliability from development to production.
Scaling Advanced Analytics in the Airline Industry During Crisis
Discover strategies for implementing MLOps across an organization during crisis, with insights from LATAM Airlines' experience and practical tips for success in advanced analytics.