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Introduction to Forecasting in Machine Learning and Deep Learning
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QCon London International Software Development Conference returns on April 8-10, 2024. Level-up on 15 major software and leadership topics including; The Tech of FinTech, What's Next in GenAI and Large Language Models (LLMs), Performance Engineering, Architecture for the Age of AI, Innovations in Data Engineering and more.
Learn the emerging trends. Explore the use cases. Implement the best practices.
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Forecasts are critical in many fields, including finance, manufacturing, and meteorology. At Uber, probabilistic time series forecasting is essential for marketplace optimization, accurate hardware capacity predictions, marketing spend allocations, and real-time system outage detection across millions of metrics.
In this talk, Franziska Bell provides an overview of classical, machine learning and deep learning forecasting approaches. In addition fundamental forecasting best practices will be covered.
Learn the emerging trends. Explore the use cases. Implement the best practices.
--------------------------------------------------------------------------------------------------------------------------------------
Forecasts are critical in many fields, including finance, manufacturing, and meteorology. At Uber, probabilistic time series forecasting is essential for marketplace optimization, accurate hardware capacity predictions, marketing spend allocations, and real-time system outage detection across millions of metrics.
In this talk, Franziska Bell provides an overview of classical, machine learning and deep learning forecasting approaches. In addition fundamental forecasting best practices will be covered.
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