DSC Europe 24 SCHEDULE

The Tech tutorial will cover the following:
• Introduction to Google Colaboratory
• How to create a new interactive notebook and connect to a virtual machine
• How to type and run system commands and Python code
• Python basics for images
• How to load and use libraries, display an image and make changes on the image
• Creating a simple CNN for image classification
• What is a Convolutional Neural Network?
• How to create, train and test a model
• Example on the CIFAR 10 dataset

This workshop is a step by step journey into the world of containers and Kubernetes. Whether you’re new to these technologies or simply looking for a better understanding, join us for 2 hours of hands-on learning to tackle the notorious “works on my machine” challenge.
You’ll learn how these technologies have transformed how we develop and deploy software, making it easier and more consistent. We’ll start by understanding containers – consider them self-contained packages with all the necessary ingredients for running an application. Using Docker, we’ll guide you through creating these containers, ensuring that your applications work seamlessly across different systems. Next, we’ll dive into Kubernetes, an intelligent tool that helps manage your containers effortlessly. We’ll explain key concepts like load balancing (spreading the workload evenly) and scaling (adapting to handle more traffic). You’ll see how Kubernetes automatically takes care of these tasks, allowing your applications to run smoothly even under heavy demand.
Throughout the workshop, you’ll have the chance to follow along with coding exercises, and we will be there to support you every step of the way. By the end, you’ll have gained practical experience and the confidence to incorporate containers and Kubernetes into your own projects.

Are you ready to unlock the full potential of AI by blending sight, sound, and text into a harmonious symphony of learning? Imagine a world where machines understand and interpret the complexities of our multi-faceted reality just as we do. Join me for an exhilarating journey into the realm of Multi-Modal Learning with Python!
Have you ever wondered how self-driving cars can see the road, hear the honks, and read traffic signs all at once? Or how virtual assistants can understand your voice commands and respond with relevant information? The secret sauce is Multimodal learning! This talk will demystify how combining different types of data can lead to more robust and intelligent systems.
Join me as we navigate the complexities of multi-modal learning, unravelling the secrets of amalgamating disparate data streams with the agility of Python. But fear not! This won’t be a dry lecture—it’ll be an interactive journey filled with practical Python implementations and illuminating examples.
I will showcase real-world examples and practical Python implementations that will leave you inspired and eager to experiment. Whether you’re a seasoned data scientist or just starting your AI journey, this talk promises to be both enlightening and entertaining. Ready to unlock the full potential of your AI projects? Let’s embark on this multi-modal adventure together!

In the rapidly evolving financial landscape, the ability to access and integrate data from multiple sources is key to gaining comprehensive insights. This hands-on tutorial will walk participants through the process of building a financial reference dataset by leveraging various financial APIs. Attendees will learn how to efficiently collect and link diverse financial data, working with real-world examples to create a unified dataset. Whether you are a developer, data analyst, or financial professional, this session will provide practical tools and techniques to streamline your financial data workflows.