This course introduces the principles and applications of neural networks and machine learning, with a focus on their relevance to neuroscience and biological systems. Students will learn about various neural network architectures, training algorithms, and their biological inspirations. The course covers fundamental concepts of machine learning, deep learning, and their applications in analyzing neurological data, modeling neural systems, and solving biological problems. Emphasis will be placed on understanding the parallels between artificial neural networks and biological neural systems.