This study source was downloaded by 100000867488176 from CourseHero.com on 06-04-2023 14:28:14 GMT -05:00https://www.coursehero.com/file/198386067/Week-6-BI-Assignmentdocx/ 1Week 6 BI Assignment ,Aoun Haider, University of Cumberlands, Business Intelligence,(ITS-531-M40)Dr. Abiodun Adeleke (Abbey)2/14/2023This study source was downloaded by 100000867488176 from CourseHero.com on 06-04-2023 14:28:14 GMT -05:00https://www.coursehero.com/file/198386067/Week-6-BI-Assignmentdocx/2DQ1Deep learning is a subset of ML that customs artificial neural networks to create complex models and algorithms. Unlike traditional machine-learning methods that require manually defined features, deep learning can learn from data by performing repeated operations on it (Sharda et al., 2021). Deep learning can solve problems in image recognition, natural language processing, and image synthesis. It can also be used to uncover hidden patterns and relationships in data.Deep learning can do more than traditional machine-learning methods because it can learn from data without requiring manual feature engineering. It can also achieve higher accuracy for complex tasks such as voice and image recognition and generate new data from existing data (Sharda et al., 2021). Other advantages of deep learning include faster training times, scalability, and the ability to make predictions from previously unseen data.DQ2Learning paradigms/methods in AI involve using algorithms, techniques and approaches to enable machines to acquire knowledge from data or experience (Sharda et al., 2021). The mostcommon