machine-learning

Learning Objectives: Compare and apply the two methods utilized for rescaling variables in data preparation. Questions: 24.2.1: You are analyzing a dataset containing information about customers' purchasing behavior, including variables such as the amount spent, frequency of purchases, and...

Learning objectives: Discuss the philosophical and practical differences between machine-learning techniques and classical econometrics. Explain the differences among the training, validation, and test data sub-samples and how each is used. Questions: 23.1.1. Peter is developing a quantitative...

Learning objectives: Explain the distinctions between the two broad categories of machine learning and describe the techniques used within each category. Analyze and discuss the application of AI and machine learning techniques in the following areas: Credit risk; Market risk; Operational risk...

Learning Objectives: Describe the use of AI and machine learning in the following cases: operations focused uses; trading and portfolio management in financial markets; and uses for regulatory. Describe the possible effects and potential benefits and risks of AI and machine learning on financial...

Learning objectives: Describe the drivers that have contributed to the growing use of Fintech and the supply and demand factors that have spurred adoption of AI and machine learning in financial services. Describe the use of AI and machine learning in the following cases: customer-focused uses...

Learning objectives: Describe the issues unique to big datasets. Explain and assess different tools and techniques for manipulating and analyzing big data. Examine the areas for collaboration between econometrics and machine learning Questions: 902.1. About the analysis of big data, Hal Varian...

Learning objectives: Describe the process of machine learning and compare machine learning approaches. Describe the application of machine learning approaches within the financial services sector and the types of problems to which they can be applied. Analyze the application of machine learning...

Learning objectives: Describe the issues unique to big datasets. Explain and assess different tools and techniques for manipulating and analyzing big data. Examine the areas for collaboration between econometrics and machine learning. Questions: 802.1. Below is Hal Varian's simple...