Auto-regressive Approximations to Non-stationary Time Series: Inference and Applications
Explore auto-regressive approximations for non-stationary time series, covering inference methods and practical applications in forecasting, estimation, and resampling.
Retail AI Use Case: Building a Demand Prediction Model
Explore retail AI demand prediction models, KPIs, and implementation strategies for effective business use cases in the retail industry.
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.
Forecasting the Future: An Introduction to Machine Learning for Weather Prediction in Native Ruby
Explore weather prediction using machine learning in Ruby. Learn to build, train, and deploy ML models natively, discovering accessible tools and libraries for Ruby-based AI projects.
Linear Regression Analysis and Forecasting
Learn regression analysis techniques for modeling, hypothesis testing, and forecasting using MINITAB software. Covers simple and multiple linear regression, parameter estimation, diagnostics, and practical applications.
Structured Dynamic Graphical Models & Scaling Multivariate Time Series
Explore advanced Bayesian methods for multivariate time series forecasting, focusing on scalability and model complexity. Learn about dynamic dependency networks and graphical dynamic linear models with real-world applications.
MathWorks Math Modeling Challenge 2024 - York Community High School Finalist Presentation
Innovative mathematical modeling by high school students predicts future housing shortages and homelessness in the U.S., showcasing STEM skills in a prestigious competition with scholarship opportunities.
Predicting Housing Shortage and Homelessness in the U.S. - M3 Challenge Finalist Presentation
Innovative mathematical modeling by high school students predicts future housing shortages and homelessness in the U.S., showcasing STEM skills in a prestigious competition.
The Extrapolation of Correlation
Explore advanced mathematical concepts in correlation extrapolation through Victor Panaretos' insightful conference talk at CIRM's thematic meeting on adaptive forecasting methods.
The Signal and the Noise by Nate Silver - Part 2
Explore Nate Silver's insights on data analysis and prediction in "The Signal and the Noise" through an expert review of key concepts and applications.
The Signal and the Noise by Nate Silver - Part 1
Explore key insights from Nate Silver's "The Signal and the Noise" in this comprehensive review, focusing on statistical analysis and prediction techniques.
Data-Driven and Data-Assisted Modeling for Applications in Fluid Dynamics and Geophysics
Explores data-driven and data-assisted modeling techniques for fluid dynamics and geophysics, focusing on machine learning applications in climate science and high-resolution forecasting.
Capturing Turbulent Dynamics and Statistics in Experiments Using Exact Coherent States
Explore turbulent dynamics using Exact Coherent States, revealing coherent structures in experiments, forecasting turbulent evolution, and providing a geometric description of transient turbulence.
Climatological, Meteorological and Environmental Factors in COVID-19 Pandemic - Day 3 Part 1
Experts discuss environmental and meteorological factors in COVID-19 forecasting, addressing challenges in communicating predictions and informing decision-makers amidst uncertainty.
The 11 March 2011 Japan Tsunami - Scientific Assessments and Implications - Press Conference 1
Scientists discuss tsunami forecasting, eyewitness video analysis, and risk awareness implications following the 2011 Japan tsunami. Experts explore lessons for future preparedness and Pacific Northwest seismic risks.
Fundamental Physics and Foundational Models for the Forecasting and Optimization of Complex Systems - Lecture 12
Explore fundamental physics and foundational models for forecasting and optimizing complex systems, enhancing your understanding of advanced scientific concepts.
Picking the Right Cloud Cost Management System
Comparison of Finout and Kubecost for cloud cost management, highlighting features, installation, pricing, and helping users choose the best tool for their needs.
AI Strategy Optimization Using Monte Carlo Tree Search - From Theory to Implementation
Explore Monte Carlo Tree Search algorithms and their application in AI decision-making, from basic principles to practical implementations in healthcare and financial forecasting.
Scaling Open Source ML: How Wolt Uses Kubernetes to Deliver Great Food to Millions
Discover how Wolt leverages Kubernetes and open-source frameworks to scale machine learning operations, addressing challenges in forecasting, recommendations, and delivery time predictions for millions of users.
Automated Insights in Finance Using Machine Learning & AI
Explore AI and ML techniques for extracting actionable insights from alternative data sources in finance, leading to profitable trading strategies and robust portfolio construction.
AI and Observability Role in E-Government Ecosystem
Explore how AI and observability enhance e-government IT operations, using open-source tools for telemetry data analysis and deep learning to improve service delivery and efficiency.