Time Series Mastery: Hands-On Workshops
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30 min - Talk
30 min Talk
1hr Workshop
Leaning 1: time series software and terminology.
Learning 2: the importance of attributing and inferring hidden state in time series problems.
Learning 3: deploying reliable and effective forecasts in R and Python using standard open source packages.
2hr Training
Time series forecasting is the science of predicting future events based on historical data, a practice with applications that permeate our daily lives. Consider demand and inventory planning, where forecasting enables businesses to anticipate customer needs, ensuring optimal product availability while minimizing costs.
Similarly, marketing strategies rely on forecasting to predict market trends, customer behavior, and campaign performance for effective resource allocation. In capital budgeting, forecasts provide insights into the future cash flows of investments, guiding informed decision-making.
Pricing optimization and predictive maintenance also depend on robust forecasting, whether it’s anticipating demand elasticity or preventing equipment failures through data-driven insights.
30 min Talk
This talk explores the revolution of foundation models in time series, highlighting breakthroughs like TEMPO and TimeDiT. We'll examine their impact on forecasting, imputation, and anomaly detection across domains like energy, healthcare, and finance, and discuss future research directions.
All Courses
All Courses, LLMs
All Courses
All Courses
All Courses
All Courses