Enrica Pasqua, Bahadir UyarerBig Data, Infrastructure, Machine Learning, Data Engineering
Automate your machine learning and data pipelines with Apache Airflow
Tanmoy BandyopadhyayAlgorithms, Parallel Programming
Write simpler, faster code with Python concurrency and parallelism..
Daniel HeinzeComputer Vision, Deep Learning, DevOps, IDEs/ Jupyter
Build a Machine Learning pipeline with Jupyter Notebooks and Azure
Valentin HaenelAlgorithms, Big Data, Data Science, Parallel Programming
Learn to program GPUs (e.g. Kernels) in Python with CuPy and Numba.
Peter KairouzArtificial Intelligence, Deep Learning, Data Science, Machine Learning, Data Engineering
Meet TensorFlow Federated: an open-source framework for machine learning and other computations on decentralized data.
Valerio MaggioArtificial Intelligence, Deep Learning, Machine Learning, Science
This tutorial provides a general introduction to the PyTorch Deep Learning framework with specific focus on Deep Learning applications for Precision Medicine and Computational Biology.
Pedro SaleiroData Science, Machine Learning
In this tutorial, we are going to deep dive into algorithmic fairness, from metrics and definitions to practical case studies, including bias audits using Aequitas (http://github.com/dssg/aequitas) in real policy problems where AI is being used
Sandrine PatautAlgorithms, Data Science, Machine Learning
Get to grips with pandas and scikit-learn: a first contact with data science using python
Caio MiyashiroAlgorithms, Data Science, Machine Learning, Statistics
Come check out Caio's workshop on music+programming+stats on PyData
Christian BarraDevOps, Infrastructure, Web, APIs, Use Cases
Ready to learn about Kubernetes? Join the workshop and be prepared to play with yaml files!
Tobias SterbakData Science, Infrastructure, Machine Learning, Data Engineering
How to manage the end-to-end machine learning lifecycle with MLflow.
Steph SamsonDevOps, Infrastructure, Use Cases
Learn how to make package and dependency management easier with Poetry.
Dominik Henter, Jéssica LinsInfrastructure, Networks, Parallel Programming
A tutorial about parallel programming in Go, from the perspective of a Python developer.
The pytest tool presents a rapid and simple way to write tests for your Python code. This training gives an introduction with exercises to some distinguishing features.
James WoottonAlgorithms, Infrastructure, Science, APIs
Every Python user can play with one of the world's most advanced technologies: quantum computers. This session will tell you how you can and why you should.
Filipe SilvaData Science, Machine Learning
Using machine learning models for level generation in video-games
Learn how to write useful decorators in a hands-on tutorial.