Reliably forecasting time-series in real-time - Charles Masson
PyData London 2018 Time-series forecasting is a well-studied research area but commonly used forecasting techniques usually fall short when used in a real-time setting for which computation speed, reactiveness to new patterns, robustness, and reliability are essential. In this talk, we will discuss forecasting methods that achieve those goals and will show how Python tools such as NumPy and Cython can help. Slides: https://docs.google.com/presentation/... --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...
Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022
A Bluffer's Guide to Dimension Reduction - Leland McInnes
Looking beyond LSTMs: Alternatives to Time Series Modelling using Neural Nets - Aditya Patel
ARIMA in Python - Time Series Forecasting Part 2 - Datamites Data Science Projects
Igor Gotlibovych: Deep Learning and Time Series Forecasting for Smarter Energy | PyData London 2019
Detecting Anomalies Using Statistical Distances | SciPy 2018 | Charles Masson
Be good (and don't be evil): how to audit your work for fairness and inclusion - Aileen Nielsen
Tamara Louie: Applying Statistical Modeling & Machine Learning to Perform Time-Series Forecasting
Is This Wish Meant to Be Fulfilled? 🧚🤲 Detailed Pick a Card Tarot Reading ✫・
Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis | PyData NYC 2019
Two Effective Algorithms for Time Series Forecasting
Pranav Bahl, Jonathan Stacks - Robust Automated Forecasting in Python and R
Anomaly Detection - Nick Radcliffe
Markus Loning - Introduction to Machine Learning with Time Series | PyData Fest Amsterdam 2020
Jan van der Vegt: A walk through the isolation forest | PyData Amsterdam 2019
Time Series Forecasting Using Recurrent Neural Network and Vector Autoregressive Model: When and How
Time Series Forecasting Theory | AR, MA, ARMA, ARIMA | Data Science
„Bei der Hochzeit meines Bruders behandelte mich die Familie wie Personal – bis ich zahlte.“
Machine Learning for Time Series Data in Python | SciPy 2016 | Brett Naul
