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EVENT DETAILS |
Join PyData NYC at 11 Times Square (Microsoft) on April 10th at 6:30 pm for a workshop night with Jorn Mossel & Thomas J. Fan.
Please bring your laptops to code along.
Food , drinks & venue sponsored by Microsoft Reactor - thank you !
Agenda:
Introduction to Time Series Forecasting: 30 mins
Speaker: Jorn Mossel
Time series problems, such as sales forecasting, energy demand, & peak server load predictions, are widespread in data science, yet often overlooked in introductory machine learning courses. This tutorial offers a brief introduction to time series, highlighting how they differ from other machine learning problems. We then demonstrate both traditional & more advanced time series techniques through explicit examples in Python. We conclude by giving an overview of some of the latest developments & available Python packages for time series analysis.
Jorn is a Physics Ph.D., a former quant on Wall Street, & a senior data scientist working on energy demand forecasting.
Time Series EDA with STUMPY: 25 minutes
Speaker: Thomas J. Fan
STUMPY is a robust & scalable Python library for computing a matrix profile, which can create valuable insights about our time series. STUMPY is built with Numba, which parallelizes computing on CPUs & accelerates it with GPUs. In this talk, we learn about the matrix profile & the various methods to compute it. Afterwards, we explore how to use the matrix profile in applications such as pattern discovery, anomaly detection, semantic segmentation, & time series chains.
Thomas J. Fan is a senior machine learning engineer at Union.ai & a maintainer for scikit-learn. At scikit-learn, he led the development of DataFrame interoperability & GPU support through PyTorch. Previously, as a researcher at Columbia University, Thomas collaborated with NASA to automate machine learning workflows.
Networking
Connect with fellow data enthusiasts, professionals, & community leaders. Build meaningful connections & forge collaborations.
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RSVP is required; please note that walk-ins will not be accepted.
Note: Per building policy, RSVPs will close at 12 pm on Apr 8
Doors @ 6 pm
Event @ 6:30 - 8:30 pm
Venue provided by MSFT: 11 Times Square
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The building requires a government-issued photo ID for entrance.
This, & all PyData NYC events, is an all-level event. Newcomers & beginners are welcome.
This, & all NumFOCUS-affiliated events & spaces, both in-person & online, are governed by a Code of Conduct. More at https://pydata.org/code-of-conduct/
This event may be recorded.
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