This workshop is a beginner's guide to computer vision. Introducing one of the most popular classes of models in the field: Convolutional Neural Networks (CNNs). You will learn the basics of CNNs, understand why this type of architecture became so popular (not only in computer vision, but in other applications as well!), and train your own model on the famous MNIST Fashion dataset!
Gain the skills you need to make sense of the wealth of data available in our world. Manipulate data using Python and SQL; code your ML algorithms on vision, natural language tasks, and much more!
This workshop introduces absolute beginners to CSS where it covers everything you need to know about CSS, how it works, and all the basics.
Deploy ML models via a web app using only Python
Learn the fundamentals of UX Design and how to construct your first mobile app or website mockup using the Design Sprint method
We will show you how you can use radar images to predict precipitation. We will be using a model built on top of a fully convolutional network called UNet.
Analyzing problems and data, constructing, refining, and verifying your model, learn how to cope with a data science project, and get acquainted with Kaggle.
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