The course provides an overview of machine learning techniques applied to bioinformatics. The student is introduced to core concepts, algorithms, and models used in the field, including supervised and unsupervised learning. The course emphasizes practical applications in genomics, transcriptomics, protein structure prediction, and drug discovery, along with advanced topics such as deep learning, natural language processing, and image analysis. It also covers the integration of multi-omics data, ethical considerations, and emerging trends in the discipline.