PyData Prague #14 - Voice upon a time...

Hello Python lovers & data devourers!

The 14th Prague PyData meetup will take place at Heureka Group offices. As usual, the talks will start at 18:30 but we encourage you to come as soon as 18:00 to enjoy the opportunity to socialize and refresh yourselves (which you can continue doing during the break and after the talks). Our main goal is to build the community around Python and data and make it welcoming to people of various skills and experience levels.

⚡ If you are interested in giving a lightning talk (up to 5 minutes to present an idea, tool or results related at least to some degree to Python and/or data), please contact us before the event or at its beginning.

📢 Talk 1: Sign language recognition: Enabling communication for the hearing-impaired through machine learning
(Karel Boháček, LMC)

In this talk, our project on sign language recognition will be presented. The aim of the project is to create a prototype app that can facilitate communication between hearing-impaired individuals and those who do not know sign language. The challenges faced by hearing-impaired individuals in communicating with the general population will be discussed, and how technology can help bridge this gap will be explained.

A Python code relying on Mediapipe library will be introduced, and its use in extracting key features from sign language gestures, such as hand and finger positions and movements, will be explained. The machine learning techniques used to recognize and classify these gestures will be delved into. The data preprocessing steps, model selection, and training process will be covered, as well as the evaluation metrics used to measure the accuracy of the model. Finally, the prototype will be showcased, and its operation in real-time will be demonstrated. The limitations of our current approach and potential future developments in the field will also be discussed.

📢 Talk 2: A unified interface for machine learning with time series - an introduction
(Franz Király, sktime)

Sktime is a widely used scikit-learn compatible library for learning with time series. sktime is easily extensible by anyone, and interoperable with the pydata/numfocus stack.

This short talk gives an introduction to sktime, the time series learning tasks it addresses, and a summary of usage and interfaces. It further introduces common feature extraction, pipelines and composition building blocks, and explains reduction patterns in sktime – using an estimator or object for one learning task to solve another, e.g., a tabular regressor for forecasting.

This is a basic introduction and an overview talk, no prior knowledge is required.

For longer hands-on tutorials, watch our tutorial videos:
http://www.sktime.net/en/latest/tutorials.html
or run our tutorial notebooks on binder:
https://mybinder.org/v2/gh/sktime/sktime/main?filepath=examples

Please, RSVP here.

See you soon,
PyData Prague team