Machine Learning and Deep Learning Applications Quiz
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Questions and Answers

What term was coined by Arthur Samuel to describe the field that gives computers the capability to learn without being explicitly programmed?

  • Artificial Intelligence
  • Big Data
  • Deep Learning
  • Machine Learning (correct)

    • What is the main task of classification in machine learning?

  • Assigning labels to patterns (correct)
  • Evaluating performance using a confusion matrix
  • Summarizing the outcome of a model
  • Predicting actual values

    • Which type of algorithms are used for image and signal classification/detection in Machine Learning?

  • FNN, CNN, RNN (correct)
  • Shortest path algorithms
  • Search algorithms
  • Clustering algorithms

    • Which of the following is a common type of classifier mentioned in the text?

    <p>Linear and Nonlinear Multi-class Classifier</p> Signup and view all the answers

    What is the main characteristic of machine learning models in terms of learning parameters?

    <p>Parameters are learned from training data</p> Signup and view all the answers

    What does a confusion matrix summarize for a classification model?

    <p>Predicted and Actual Values</p> Signup and view all the answers

    Which of the following is an application of Machine Learning mentioned in the text?

    <p>Predicting stock prices</p> Signup and view all the answers

    In a confusion matrix, what does 'True Negative' represent?

    <p>Correctly classified negative instances</p> Signup and view all the answers

    How is Machine Learning different from Traditional Programming based on the text?

    <p>Machine Learning creates its own logic based on input/output data</p> Signup and view all the answers

    Why is accuracy considered a good metric for balanced datasets?

    <p>Because it considers both positive and negative instances equally</p> Signup and view all the answers

    What type of data requires efficient and automatic processing according to the text?

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

    Why is accuracy not recommended for imbalanced datasets?

    <p>Because it gives a biased view towards majority classes</p> Signup and view all the answers

    What is the purpose of using the softmax function as the last layer activation function in a neural network?

    <p>Normalize the output to a probability distribution over predicted output classes</p> Signup and view all the answers

    Which training algorithm is commonly used for training multi-layer neural networks?

    <p>Back-propagation (BP)</p> Signup and view all the answers

    What issue arises when a simple model like a linear classifier is used to classify a complex dataset?

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

    What is the purpose of storing only the model parameters after training a linear classifier?

    <p>To reduce the memory consumption of the model.</p> Signup and view all the answers

    Which tool is described as a Deep Learning API written in Python that runs on top of TensorFlow?

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

    In the context of the provided text, what is the purpose of the 'delta' computation in the linear classifier training algorithm?

    <p>Updating the model parameters based on the prediction error.</p> Signup and view all the answers

    What happens when a deep neural network is used for classification without having a significant number of samples in the training data?

    <p>Overfitting the training data</p> Signup and view all the answers

    Which classifier is used for nonlinearly separable problems according to the provided content?

    <p>Support Vector Machine Classifier</p> Signup and view all the answers

    Which function is often used for separating non-linear data in a multi-layer neural network?

    <p><strong>XOR</strong></p> Signup and view all the answers

    What is the primary difference between Linear Classifier X1 and Linear Classifier X2 mentioned in the text?

    <p>The way coefficients are stored.</p> Signup and view all the answers

    In machine learning, what does SVM stand for as mentioned in the content?

    <p>Support Vector Machine</p> Signup and view all the answers

    What is the purpose of using 'clf.predict([[2., 2.]])' after fitting a Support Vector Machine classifier in sklearn?

    <p>To predict the class label for a new input.</p> Signup and view all the answers

    What is the probability of playing the game given the weather is Sunny?

    <p>0.60</p> Signup and view all the answers

    In Bayes classification, when is an instance classified to w2?

    <p>When P(x|w1) &lt; P(x|w2)</p> Signup and view all the answers

    What is the probability of not playing the game on a Sunny day?

    <p>0.41</p> Signup and view all the answers

    What does the Bayes classification rule state when P(w1) equals P(w2)?

    <p>Classify x based on shape</p> Signup and view all the answers

    In the frequency table provided, how many instances were recorded for a 'No play' decision during Rainy weather?

    <p>2</p> Signup and view all the answers

    Based on the Bayes decision theory, what happens if P(w1|x) > P(w2|x)?

    <p>'x' is classified to w1</p> Signup and view all the answers

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