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Exam AWS Certified Machine Learning - Specialty topic 1 question 251 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 251
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

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?

  • A. Supervised learning
  • B. Unsupervised learning
  • C. Semi-supervised learning
  • D. Reinforcement learning
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Suggested Answer: D 🗳️
by Mickey321 at June 9, 2023, 5:35 p.m.
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Mickey321
Highly Voted 10 months, 3 weeks ago
Selected Answer: 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.
upvoted 14 times
kaike_reis
8 months, 1 week ago
I like your answer conrad
upvoted 2 times
kaike_reis
8 months, 1 week ago
liked*
upvoted 1 times
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endeesa
Most Recent 5 months ago
Selected Answer: D
At first glance this is a problem where we have some sort of goal and an agent(.i.e. bot)
upvoted 1 times
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loict
7 months, 2 weeks ago
Selected Answer: 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
upvoted 1 times
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