Machine Learning and Deep Learning with Python

1-day workshop

Description

In this workshop, you will learn the machine and deep learning fundamentals using a modern open-source stack. We’ll start with a brief introduction to Python’s scientific computing libraries, including NumPy, Pandas, and Matplotlib, which provide the foundation for data analysis and visualization. From there, we will dive into the scikit-learn API, a user-friendly, open-source library for machine learning in Python. You will learn how to use it to create machine learning classifiers and apply tree-based models like random forests, gradient boosting, and XGBoost.

In the second part of this workshop, we will also cover deep learning concepts and introduce PyTorch, the most widely used deep learning research library. You will also learn about training multi-layer neural networks efficiently using multi-GPU and mixed-precision techniques. Finally, we will explore how to use a pretrained large language transformer with scikit-learn and fine-tune it on a custom downstream task using PyTorch.

By the end of this workshop, you will have a good understanding of the fundamental principles of machine learning and be able to construct advanced classification pipelines for tabular data using scikit-learn. Additionally, you will gain experience in image classification and natural language processing techniques using PyTorch and be able to implement them in your own predictive modeling projects effectively.

Audience

This workshop is for you if you:

• are a researcher, programmer, or engineer who wants to apply machine learning and deep learning,
• are a scientific computing practitioner who is interested in predictive modeling, or
• are a problem solver who want to learn about Python-tools for tabular, image, and text data.

Instructor

Sebastian Raschka is a machine learning and AI researcher with a strong passion for education. As Lead AI Educator at Lightning AI, he is excited about making AI and deep learning more accessible and teaching people how to utilize these technologies at scale. Before dedicating his time fully to Lightning AI, Sebastian held a position as Assistant Professor of Statistics at the University of Wisconsin-Madison, where he specialized in deep learning and machine learning research. Moreover, Sebastian loves open-source software and has been a passionate contributor for over a decade. Next to coding, he also loves writing and authored the bestselling “Python Machine Learning” book and “Machine Learning with PyTorch and Scikit-learn”. If you want to learn more about Sebastian and what he is currently up to, please visit his website at https://sebastianraschka.com.