Time Series Modeling: ML and Deep Learning Approaches with Python (@Farfetch)

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DESCRIPTION

Time series are everywhere around us. Understanding them requires taking into account the sequence of values seen in previous steps and even long-term temporal correlations. Bruno Goncalves explains a broad range of traditional machine learning (ML) and deep learning techniques to model and analyze time series datasets with an emphasis on practical applications.

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AGENDA

09:00 - 09:30 Arrival, breakfast (sponsored by Farfetch)

09:30 - 10:00 Host intro by Jazzmin May Carroll (Senior Recruiter), Jim Frye (Head of Talent at Stadium Goods), Gianluca Rossi (Data Science Lead)

10:00 - 12:00 Tutorial session

12:00 - 01:00 Lunch (sponsored by Farfetch)

01:00 - 04:00 Tutorial session

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SPEAKER BIO

Bruno Gonçalves is a chief data scientist at Data For Science, working at the intersection of data science and finance. Previously, he was a data science fellow at NYU’s Center for Data Science while on leave from a tenured faculty position at Aix-Marseille Université. Since completing his PhD in the physics of complex systems in 2008, he’s been pursuing the use of data science and machine learning to study human behavior. Using large datasets from Twitter, Wikipedia, web access logs, and Yahoo! Meme, he studied how we can observe both large scale and individual human behavior in an obtrusive and widespread manner. The main applications have been to the study of computational linguistics, information diffusion, behavioral change and epidemic spreading. In 2015, he was awarded the Complex Systems Society’s 2015 Junior Scientific Award for “outstanding contributions in complex systems science” and in 2018 was named a science fellow of the Institute for Scientific Interchange in Turin, Italy.

LinkedIn: https://www.linkedin.com/in/bmtgoncalves/
Website: www.data4sci.com
Newsletter: www.data4sci.com/newsletter
Twitter: @bgoncalves, @data4sci

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ABOUT FARFETCH

Farfetch exists for the love of fashion. We believe in empowering individuality. Our mission is to be the global technology platform for luxury fashion, connecting creators, curators and consumers.

The Farfetch Platform
We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide. Our vision was to create a single operating system to address the complex demands of consumers and luxury sellers alike. Our platform is built on an API-enabled proprietary technology stack, which provides the foundation for the three main components: applications, services and data.

The Farfetch Marketplace
Farfetch.com is the only truly global luxury digital marketplace at scale where lovers of fashion anywhere in the world can shop for an unrivalled range of incredible products from the world’s best brands and boutiques. Inspiration, unique content and services are offered in localized websites in 12 local languages, multilingual customer support and great delivery options including same-day delivery in 18 major global cities and F90 store to door in 90 minutes. As of March 31, 2018, over 2,900 different brands were available on our marketplace and shipped to 190 countries around the world.

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REQUIREMENTS

In order to participate in the interactive exercises attendees must bring a laptop with Python, and `numpy`, `matplotlib`, `pandas` and `statsmodels` packages installed.

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CODE OF CONDUCT (CoC)

All members must read and adhere to the CoC, which applies to all spaces, online and in person. Our CoC is adopted from NumFOCUS and is available here: https://numfocus.org/code-of-conduct

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DONATION

There is no charge for this event. We ask that you donate $5 to $10 to NumFOCUS to support Python open source libraries:
https://numfocus.org/donate