Level: Beginner to intermediate (ideal for life science researchers exploring AI applications)
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🔍 Overview
This course introduces key machine learning (ML) and AI concepts through the lens of biotech and life sciences. Participants will explore how ML is used for omics analysis, image classification, and predictive modeling in biological systems.
No prior coding experience is required. The course combines theory with real-world case studies, using tools like scikit-learn, omics datasets, and image-based data from biological research.
📘 Modules
Introduction to AI/ML Concepts
Omics Data & Supervised Learning
Image Recognition in Biotech
Building & Evaluating Predictive Models
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