Long used in the financial services and insurance industries, predictive analytics is about using statistics, data mining, and game theory to analyze current and historical facts in order to make ...

• Efficient Resource Utilization: AI optimizes resource extraction, ensuring minimal waste. For example, ore sorting ...

The main objective of this course is for the students to develop an understanding of the role of predictive analytics in direct support of managerial decision-making commonly referred to as data ...

The predictive analytics market within the banking sector has been witnessing substantial growth in recent years, fueled by the increasing adoption of data-driven decision-making processes and the ...

data mining, and modeling to turn data into information and insights. The business analytics field includes descriptive, predictive, and prescriptive analytics. Descriptive analytics help ...

Topics include implementation of successful analytics platforms, big and little data, predictive analytics, social media analytics, mobile analytics and data visualization. IT 531 Data Mining This ...

Business analytics success depends on data quality, skilled analysts who understand the technologies and the business, and an organizational commitment to using data to gain insights that inform ...

The course will cover advanced data mining techniques with applications in different business domains. Students will be introduced to advanced analytic solutions aimed at addressing issues related to ...

Data analytics-based approach is the new frontier in improving ... Here are some common topics in Predictive Analytics: classification (logistic regression, discriminant analysis, cluster analysis); ...