As technologies such as artificial intelligence, big data, cloud computing, and blockchain have been applied to various areas in finance, there is an increasing demand for finance professionals with the skills and knowledge related to fintech. Knowledge of the technologies involved and finance concepts is crucial for the finance professional to understand the architecture of technologies as well as how they can be applied to solve various aspects of finance.This book covers the main concepts and theories of the technologies in fintech which consist of big data, data science, artificial intelligence, data structure and algorithm, computer network, network security, and Python programming. Fintech for Finance Professionals is a companion volume to the book on finance that covers the fundamental concepts in the field. Together, these two books form the foundation for a good understanding of finance and fintech applications which will be covered in subsequent volumes.Contents:
- Preface
- About the Editors
- Data Structures:
- Python Programming Basics
li>Data Structure and Algorithms
- Big Data
- Data Science
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Computer Networks
- Network Security
Readership: Professionals, researchers, and advanced undergraduate and graduate students in the field of financial technology, data science, financial innovation, big data, artificial intelligence, computer network, Python programming, data structure and algorithm, and technology.Fintech;Big Data;Data Science;Artificial Intelligence;Data Structure and Algorithm;Computer Network;Network Security;Python Programming0Key Features:
- Beginners’ guide to fintech
- Inclusion of fundamentals related to data and technology
- Easy to understand
- Useful handbook with learning outcomes, main terms, lessons learnt and sample questions provided