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WorksheetsIntroduction To Machine Learning
Total questions: 20
Worksheet time: 10mins
Which of the below is not supervised learning?
Spam email identification
House price prediction
Speech recognition
Amazon product suggestions
Which of the below is not unsupervised learning?
Anomaly detection
Object recognition
Customer segmentation
Clustering
Select the true statements
Machine learning takes input data and static rules to predict the output value
Traditional programming uses static rules to process input data to produce output
Traditional programming analyzes input data and comes up with rules and output data
Machine learning uses knowledge about input data and expected output to learn the rules for modelling data relationships
Machine learning is a subset of artificial intelligence
True
False
Select the statements that are true
Machine learning and deep learning are tools towards achieving intelligent machines
Deep learning was invented in 1950s
Deep learning uses layered neuron like architecture inspired by human brain
Artificial intelligence is superset of Machine learning, while deep learning is a completely different field
Machine learning is one of the steps in any data science project.
True
False
In tabular data, what does a row and column represent?
Row = feature, column = entity
Column = feature, row = entity
Select approaches for scaling data
Standardization
Noise removal
Normalization
Data encoding
Let’s say we have an image of size 45x55. It is a grayscale image. How many pixels do we need to represent this image in a numerical format?
2240
2420
2152
2340
What is the relationship between model and algorithm?
Algorithm + model = data
Algorithm = Model + data
Model = Algorithm(data)
Data = Algorithm(model)
Identify parametric machine learning algorithms
Linear regression
CNN
Logistic regression
Naïve Bayes
Identify non-parametric machine learning algorithms
KNN
SVM
Simple perceptron
Linear regression
At what stage of the data science lifecycle do you optimize the parameters?
Training the model
Evaluating the model
Deploying the model
Rescales the data into the range [0, 1]
standardization
normalization
y=7x+5 is best described as
model
an algorithm
Which of the following algorithms are parametric?
Decision Tree
Logistic regression
KNN
Multiple linear regression
Which of these statements is true about classical ML vs. deep learning?
All deep learning algorithms are machine learning algorithms
All machine learning algorithms are deep learning algorithms
Classical ML is a subcategory of deep learning algorithms,based on neural networks
Which of the following yields discrete categorical outputs?
Anomaly detection
Regression
Classification
Feature Learning
Which of the following holds true for Unsupervised Learning?
Finds hidden structures in data
Learns from data that contains only the inputs
Learns from data that contains both the inputs and expected outputs
Learns how an agent should take actions in an environment to maximize a reward function
Bias is:
Error that results from inaccurate assumptions in model training
Error that occurs when the model is too sensitive to the training data
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