Machine Learning and Deep Learning Applications Quiz

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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?

Linear and Nonlinear Multi-class Classifier Signup and view all the answers

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

Parameters are learned from training data Signup and view all the answers

What does a confusion matrix summarize for a classification model?

Predicted and Actual Values Signup and view all the answers

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

Predicting stock prices Signup and view all the answers

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

Correctly classified negative instances Signup and view all the answers

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

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

Why is accuracy considered a good metric for balanced datasets?

Because it considers both positive and negative instances equally Signup and view all the answers

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

Streaming data Signup and view all the answers

Why is accuracy not recommended for imbalanced datasets?

Because it gives a biased view towards majority classes 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?

Normalize the output to a probability distribution over predicted output classes Signup and view all the answers

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

Back-propagation (BP) Signup and view all the answers

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

Underfitting the data Signup and view all the answers

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

To reduce the memory consumption of the model. Signup and view all the answers

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

Keras 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?

Updating the model parameters based on the prediction error. 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?

Overfitting the training data Signup and view all the answers

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

Support Vector Machine Classifier Signup and view all the answers

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

XOR Signup and view all the answers

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

The way coefficients are stored. Signup and view all the answers

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

Support Vector Machine 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?

To predict the class label for a new input. Signup and view all the answers

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

0.60 Signup and view all the answers

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

When P(x|w1) < P(x|w2) Signup and view all the answers

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

0.41 Signup and view all the answers

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

Classify x based on shape Signup and view all the answers

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

2 Signup and view all the answers

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

'x' is classified to w1 Signup and view all the answers