Artificial Intelligence in Finance Course
Welcome to Artificial Intelligence in Finance's Online training with live Instructor using an interactive cloud desktop environment DaDesktop.
Experience remote live training using an interactive, remote desktop led by a human being!
This instructor-led live training is designed to provide participants to gain mastery on artificial intelligence in finance. You will learn the fundamentals of artificial intelligence in finance and with greater emphasis on the functionality and application to your work or study.
Financial institutions have long used artificial neural network systems to detect charges or claims outside of the norm, flagging these for human investigation. The use of AI in banking can be traced back to 1987 when Security Pacific National Bank in the US set-up a Fraud Prevention Task force to counter the unauthorized use of debit cards. Programs like Kasisto and Moneystream are using AI in financial services.
Banks use artificial intelligence systems today to organize operations, maintain book-keeping, invest in stocks, and manage properties. AI can react to changes overnight or when business is not taking place. In August 2001, robots beat humans in a simulated financial trading competition.[AI has also reduced fraud and financial crimes by monitoring behavioral patterns of users for any abnormal changes or anomalies.
The use of AI machines in the market in applications such as online trading and decision making has changed major economic theories. For example, AI-based buying and selling platforms have changed the law of supply and demand in that it is now possible to easily estimate individualized demand and supply curves and thus individualized pricing. Furthermore, AI machines reduce information asymmetry in the market and thus making markets more efficient while reducing the volume of trades. Furthermore, AI in the markets limits the consequences of behavior in the markets again making markets more efficient. Other theories where AI has had impact include in rational choice, rational expectations, game theory, Lewis turning point, portfolio optimization and counterfactual thinking. In August 2019, the AICPA introduced an AI training course for accounting professionals.
- Machine Learning with Python, Keras, Scikit-Learn and Pandas
- Data preparation methods
- Value prediction on single and multiple values
- Machine Learning methods for forecasting
Course Category: Artificial Intelligence (AI)