COVID-19 Vaccination Demand Forecasting in Canadian Pharmacies
Develop an analytic forecasting framework for COVID-19 vaccination demand in Canadian pharmacies using historical data, geospatial demographics, and digital surveys.
Machine Learning Simplified - From Ideation to Deployment in Minutes with Automated ML
Discover how to train high-quality ML models using Azure Machine Learning's automated ML, requiring only a dataset and minimal configuration parameters.
Digitalizing Pharmaceutical Manufacturing: From Paper Systems to AI-Driven Solutions
Discover how AI transforms pharmaceutical manufacturing by automating data collection, enhancing equipment effectiveness, and enabling real-time monitoring for improved operational efficiency.
Building a Trusted Data Foundation for AI on Databricks
Modernize data engineering for AI with Qlik's integration of Databricks AI Functions, automating real-time data pipelines to enhance AI-driven analysis and ML model development on the Databricks platform.
AccuWeather - Turning Risky Weather into Business Opportunities
Discover how AccuWeather's advanced AI and proprietary algorithms transform weather data into actionable business insights, enabling proactive decision-making and risk mitigation for improved operational outcomes.
AI Business Ideas Funded by Y Combinator - Analysis and Insights
Explore YCombinator-funded AI business ideas, analyzing industry trends, B2B vs B2C, infrastructure vs applications, and untapped opportunities for AI disruption and innovation.
Scaling Business with Real-Time ML in Microsoft Fabric Real-Time Analytics
Leverage ML on real-time data to scale business operations using Microsoft Fabric Real-time Analytics. Deep-dive into technical aspects for optimizing performance and decision-making.
Elicit and Collaborate Like a Pro - Top Tips for Effective Stakeholder Engagement
Master effective stakeholder elicitation and collaboration techniques. Learn to prepare, manage engagement, choose appropriate methods, and overcome common challenges for optimal project success.
Applying Learning Analytics on Predicting Student's Academic Performance
Discover how learning analytics and educational big data can predict student academic performance through expert insights from Prof. Yang's keynote presentation at Kyoto University's symposium.
Statistical Rethinking 2022 - Geocentric Models
Explore Bayesian linear regression, covering model language, generative and statistical approaches, validation, and posterior predictions for a comprehensive understanding of statistical modeling.
Introduction to Nonlinear Dynamics - The Case of Catastrophe Theory by Vishwesha Guttal
Explore nonlinear dynamics and catastrophe theory in finance and macroeconomics. Learn alternative frameworks for analyzing modern financial systems and their economic impacts.
Population Growth and Decline - Differential Equations
Explore population dynamics through differential equations, examining growth and decline models before delving into harvesting concepts.
Integer Optimization for Predictive & Prescriptive Analytics in High Stakes Domains
Explore integer optimization techniques for developing interpretable, robust, and fair decision-tree models to assist high-stakes decision-making in social services and healthcare domains.
Modelling of Disease Spread Through Heterogeneous Population
Explore spatial variability in disease spread using PDEs with state-dependent diffusion. Examine density-dependent infection rates and super-diffusive propagation, with a case study on coronavirus in Nova Scotia.
Linear Regression with One X-Variable - Lecture 21
Explore simple linear regression using R, learning its powerful applications and detailed implementation in data analysis.
Probabilistic Numerical Computation - A New Concept?
Explore probabilistic numerics, a new field combining mathematics, statistics, and computer science to quantify uncertainty in numerical methods for complex data analysis and modeling.
Causality in a Post-Cookie World
Explore causal learning for data-driven marketing decisions in an era of privacy protection and unpredictable market conditions.
Non-smooth Dynamics and Machine Learning
Explore the intersection of non-smooth dynamics and machine learning, uncovering innovative approaches to complex systems analysis and prediction.
Mathematics for Data-Driven Modeling - The Science of Crystal Balls
Explore data-driven modeling techniques that bypass traditional equation-based approaches, enabling direct analysis and prediction from observations in various scientific fields.
Understanding the Role of Causality in AI for Healthcare
Explore causality's crucial role in AI for healthcare, focusing on improving patient care, addressing self-fulfilling prophecies, and enhancing treatment outcome predictions.
Commercialization of Audio Technology
Explore challenges and strategies for commercializing audio innovations, with insights from successful startups and industry-specific considerations for bringing new technologies to market.