Predictive Analytics with TensorFlow 11.3: Developing a Stock Price Predictive Model

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Information Technology (IT), Architecture, Business, Other, Social Studies
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of using the Yahoo Finance Library in the context of this tutorial?
To develop a multi-armed bandits model
To handle HTTP errors
To retrieve and plot historical stock data
To predict future stock prices
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of reinforcement learning, what is the initial step in creating a decision policy for trading?
Implementing a Q-Learning decision policy
Defining the neural network structure
Creating a random decision policy
Evaluating the agent's performance
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the Q-Learning decision policy in the trading agent?
To randomly select actions
To set up the session and initialize variables
To exploit the best option with a certain probability
To retrieve historical stock data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to run the trading simulation multiple times?
To increase the speed of the simulation
To obtain a more robust measurement of success
To reduce the complexity of the model
To minimize the loss in the neural network
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the three actions evaluated in the trading agent's performance?
Buy, sell, and hold
Invest, withdraw, and save
Analyze, predict, and trade
Monitor, adjust, and execute
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