Deep Learning

Catalog description

Processing and analyzing images, texts, customer reviews, and videos require advanced algorithms. Deep Learning (DL), a subset of Artificial Intelligence, excels at extracting insights from unstructured data by uncovering hidden patterns within datasets. As a result, DL has become a critical tool for solving business challenges in data-rich environments. Many organizations now expect business analytics practitioners, data scientists, and analytics managers to be proficient in DL models. This course teaches students how to build DL models for business applications using Python libraries such as TensorFlow and Keras. It covers artificial neural networks, convolutional networks, and recurrent network structures. Students will explore DL applications in various domains, including Customer Analytics, Supply Chain Analytics, Healthcare Analytics, Financial Technology Analytics, Accounting Analytics, and Talent Analytics. By the end of the course, students will have the ability to develop and optimize deep learning models for diverse business applications.