Prerequisites: Minimum grade of C- in INFS 346 and INFS 343.
This course focuses on extracting insights from complex datasets and progresses from data mining and R principles to data transformation and data mining techniques. Using deep learning and large language models, it addresses challenges in AI analytics, emphasizing ensemble learning techniques, model evaluation, and the handling of big data.
Outcomes: To be able to effectively use technologies such as Hadoop (Map Reduce) & R for solving data-dependent business problems of varying levels of complexity.
This course focuses on extracting insights from complex datasets and progresses from data mining and R principles to data transformation and data mining techniques. Using deep learning and large language models, it addresses challenges in AI analytics, emphasizing ensemble learning techniques, model evaluation, and the handling of big data.
Outcomes: To be able to effectively use technologies such as Hadoop (Map Reduce) & R for solving data-dependent business problems of varying levels of complexity.