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\nPredictive Analytics with TensorFlow 11.2: Developing a Multiarmed Bandit's Predictive Model\n

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\nOne of the simplest RL problems is called n-armed bandits. The thing is there are n-many slot machines but each has different fixed payout probability. The goal is to maximize the profit by always choosing the machine with the best...\nOne of the simplest RL problems is called n-armed bandits. The thing is there are n-many slot machines but each has different fixed payout probability. The goal is to maximize the profit by always choosing the machine with the best payout. • Define the bandits • Develop an agent for the bandits • Train the agents\n
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Resource Details

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Not yet Rated
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Media Length
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10:02
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Grade
Higher Ed
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Subjects
STEM
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Instructional Videos
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\nPackt - Data\n\n
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Date
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2019
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Language
English
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For Teacher Use
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Concepts

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variables, normal distribution, stem, coding, computer science, blockchain
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Additional Tags

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objective function, bandit, machine learning, contextual bandits, predict, aws, total number, angular, contextual agent, choosing, agent, start, positive reward, training process, current state, software, training, random number, maximum reward, bandit function, environment, banded number, learn, random action, programming, react, c++, c#, stateless agent, python, state, video, actions, agent complexity, reward, bandits, action
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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Predictive Analytics with TensorFlow 11.2: Developing a Multiarmed Bandit's Predictive Model\" href=\"/subscription/new\">\"Predictive\n\n
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