
Explore the journey from AI concept to ML product, focusing on technical solutions and stakeholder engagement. Learn effective strategies for implementing machine learning workflows and communicating their value.

Explore the Zenseact Open Dataset's role in advancing autonomous driving technology. Learn about its creation, features, and applications in ongoing research projects.

Structure ML projects using Clean Architecture to reduce technical debt. Learn actionable software engineering principles for data-intensive applications and manage project changes effectively.

Explore strategies for accurate and scalable offer categorization in e-commerce, addressing challenges, leveraging automation, and improving search relevance and product sorting.

Explore Topological Data Analysis (TDA) and its intersection with machine learning to enhance neural networks' geometric reasoning abilities across various applications.

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.

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.

Automate ML model training and tuning for customer churn prediction using Amazon SageMaker Autopilot, with deployment and iteration in SageMaker Studio.

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.

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.

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.

Explore techniques to uncover shared cultural mental models from remote populations, combining linguistic analysis and surveys to identify decision-making factors and cultural norms.

Explore how AI scales to analyze weather's impact on business, leveraging historical data to predict demand and inform decision-making across industries.

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.

Explore effective data storytelling techniques, blending math, science, art, and communication, with real-world examples from Shopify's practices.

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.

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.

Leverage Vertex AI for efficient matrix multiplication in MLOps. Build scalable recommendation engines using Google Cloud Platform's tools for improved product relevance.

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.

Explore constraint programming techniques to optimize grocery picking efficiency, reduce costs, and improve profitability in online retail operations.

Explore FreshBooks' journey to MLOps maturity using Kubeflow pipelines and a declarative framework, addressing challenges and improving ML pipeline reliability from development to production.