Topic 1 Question 251
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?
Supervised learning
Unsupervised learning
Semi-supervised learning
Reinforcement learning
ユーザの投票
コメント(3)
- 正解だと思う選択肢: D
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.
👍 10Mickey3212023/06/09 - 正解だと思う選択肢: D
A. NO - there are no labelled data as input B. NO - it is not a clustering problem C. NO - there are no labelled data as input D. YES - it can learn over time what are the good and bad decisions
👍 1loict2023/09/12 - 正解だと思う選択肢: D
At first glance this is a problem where we have some sort of goal and an agent(.i.e. bot)
👍 1endeesa2023/11/28
シャッフルモード