Machine learning in finance. Textbook for master's degree.
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The textbook is designed for conducting classes on the subject of 'Machine Learning in Finance'. The textbook describes how to work with the main machine learning tools: Python, Pandas. It provides examples of code for loading, processing, and analyzing information from financial markets. Modern directions of using machine learning in the financial sector are described. Promising directions for the development of machine learning tools in financial markets are outlined. The material of the textbook provides readers with practical knowledge in the field of data processing methods and machine learning basics, as well as how they are used in the investment process. Through virtual case studies, readers gain practical programming experience based on realistic scenarios, apply machine learning concepts to real investment problems, and learn to clearly explain them to non-specialists and clients. The textbook is intended for graduate students studying in the fields of 'Economics', 'Finance and Credit', participants in shortened programs, and professionals undergoing financial retraining programs. The materials of the textbook can be used to prepare for the exam to obtain the CFA Data Science for Investment Professionals Certificate.
Author:
Author:Bogatyrev Semen Yurievich
Cover:
Cover:hardcover
Category:
- Category:Business & Money
- Category:Science & Math
Dimensions:
Dimensions:20.5x13.5x1.8 cm
ISBN:
ISBN:978-5-00172-572-5
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