MLS-C01 · Question #279
MLS-C01 Question #279: Real Exam Question with Answer & Explanation
The correct answer is D: Reinforcement learning. Reinforcement learning allows the bot to continuously learn from its own experiences, adapt to changing market conditions, and optimize its decision-making process over time. It is well-suited for dynamic and uncertain environments like financial markets, where the optimal tradin
Question
A data scientist wants to build a financial trading bot to automate investment decisions. The financial bot should recommend the quantity and price of an asset to buy or sell to maximize long- term profit. The data scientist will continuously stream financial transactions to the bot for training purposes. The data scientist must select the appropriate machine learning (ML) algorithm to develop the financial trading bot. Which type of ML algorithm will meet these requirements?
Options
- ASupervised learning
- BUnsupervised learning
- CSemi-supervised learning
- DReinforcement learning
Explanation
Reinforcement learning allows the bot to continuously learn from its own experiences, adapt to changing market conditions, and optimize its decision-making process over time. It is well-suited for dynamic and uncertain environments like financial markets, where the optimal trading strategies may vary depending on various factors and trends.
Topics
Community Discussion
No community discussion yet for this question.