Workshops on Machine Learning, Natural Language Processing, and Computer Vision

This hands-on workshop series offers practical deep dives into three core AI subfields critical to modern AI applications: Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision (CV). Designed for practitioners and enthusiasts with varying technical backgrounds, these workshops unpack foundational concepts while emphasizing real-world implementation.

The Machine Learning workshop introduces supervised and unsupervised learning, model training, evaluation metrics, and common algorithms like decision trees and neural networks. Attendees will have the opportunity to experiment with datasets, using popular ML frameworks to build predictive models.

In the Natural Language Processing session, participants explore how machines understand, interpret, and generate human language. Topics include text classification, sentiment analysis, machine translation, and conversational AI with chatbots. Hands-on exercises cover tokenization, embedding, and leveraging pretrained language models.

The Computer Vision workshop focuses on enabling machines to ‘see’ and analyze images and videos. Core topics include image processing, object detection, facial recognition, and scene segmentation. Practical demos use tools and libraries that facilitate image classification and real-time video analysis.

Throughout, ethical implications such as bias, privacy, and fairness in AI systems are discussed. Participants receive resources, code samples, and guidance on best practices.

Perfect for developers, data scientists, and AI enthusiasts, these workshops empower attendees to confidently engage with AI technologies and apply them effectively in diverse domains.