AI Cloud Services Pricing Models
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Questions and Answers

What is the basis for pricing in Amazon CodeGuru?

  • Number of lines of source code analyzed (correct)
  • Number of pages sent for processing
  • Search units used
  • Amount of storage and throughput used
  • Why are pre-trained models considered a cost-effective solution?

  • They require minimal human resources (correct)
  • They are available for all technologies
  • They are free to use
  • They guarantee 100% success rate
  • What is the alternative to training ML models mentioned in the text?

  • Reducing the complexity of the models
  • Hiring additional developers
  • Increasing server capacity
  • Using a pre-trained model (correct)
  • How is pricing determined in Microsoft Azure Cognitive Search?

    <p>Based on search units used</p> Signup and view all the answers

    Why are pre-trained models limited to specific technologies according to the text?

    <p>To ensure functionality and effectiveness</p> Signup and view all the answers

    What can reduce the risk of consuming significant resources when training an image classifier?

    <p>Using a pre-trained model as a basis</p> Signup and view all the answers

    What are the parameters that define the model structure, such as the number of layers of a neural network?

    <p>Hyperparameters</p> Signup and view all the answers

    Which type of parameters control the training process, like determining how many epochs to use when training a neural network?

    <p>Algorithm parameters</p> Signup and view all the answers

    What should model evaluation and tuning resemble according to the text?

    <p>A scientific experiment</p> Signup and view all the answers

    In practice, why are several models typically created and trained using different algorithms?

    <p>To choose the best model</p> Signup and view all the answers

    What are the results from evaluating the model performance metrics used for when adjusting the model settings?

    <p>To fit the model to data and improve its performance</p> Signup and view all the answers

    Which part of the model improvement process involves adjusting settings based on evaluation results to enhance performance?

    <p>Model tuning</p> Signup and view all the answers

    What does defining autonomy involve?

    <p>Being completely independent of human oversight and control</p> Signup and view all the answers

    What is the classification of fully self-driving cars according to the text?

    <p>Autonomous</p> Signup and view all the answers

    What is the primary function of autonomous vehicles to be situationally aware?

    <p>Use sensors and image processing</p> Signup and view all the answers

    Which approach has been found to be the most effective for achieving situational awareness in autonomous vehicles?

    <p>Machine learning, especially deep learning</p> Signup and view all the answers

    Why doesn't full autonomy often make sense in practice?

    <p>It may involve excessive risks or ethical concerns</p> Signup and view all the answers

    What characterizes an autonomous system based on the information provided?

    <p>&quot;Smart&quot; or &quot;intelligent&quot; incorporating AI-based components</p> Signup and view all the answers

    What may result in conflicting data labels from different annotators?

    <p>Subjective judgements made by data annotators</p> Signup and view all the answers

    In what situation can ML-based approaches to labeling lead to incorrect labels?

    <p>Probabilistic nature of ML-based approaches</p> Signup and view all the answers

    What type of errors can lack of required domain knowledge lead to?

    <p>Incorrect labeling</p> Signup and view all the answers

    Which factor can contribute to more errors in complex classification tasks?

    <p>Complexity of the task</p> Signup and view all the answers

    What can be a consequence of translation errors in data labeling?

    <p>Incorrect labeling in multiple languages</p> Signup and view all the answers

    What characteristic of ML-based approaches makes them prone to some incorrect labels?

    <p>Probabilistic nature</p> Signup and view all the answers

    What are the typical quality issues related to data in a dataset?

    <p>Wrong data, incomplete data, mislabeled data</p> Signup and view all the answers

    Which method is used for creating multiple split combinations according to the text?

    <p>Split-test</p> Signup and view all the answers

    What is one possible reason for incomplete data mentioned in the text?

    <p>Security issues</p> Signup and view all the answers

    What is the importance of evaluating/tuning in machine learning compared to testing?

    <p>Evaluating/tuning helps optimize model performance while testing assesses final model accuracy</p> Signup and view all the answers

    What does leave-one-out cross validation involve?

    <p>Repeatedly training on all samples except one</p> Signup and view all the answers

    Which issue pertains to incorrect or faulty sensor data according to the text?

    <p>Wrong data</p> Signup and view all the answers

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