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WorksheetsSeason 5 #Spaic Machine learning Weekly Quiz
Total questions: 20
Worksheet time: 11mins
Let's say, you are working with categorical feature(s) and you have not looked at the distribution of the categorical variable in the test data. You want to apply one hot encoding (OHE) on the categorical feature(s). What are the challenges you may face?
Frequency distribution of categories is different in train as compared to the test dataset.
Train and Test always have same distribution.
Other challenges
What are support vectors?
Output vectors that are Closest to the hyperplane
Output vectors that are farthest from the hyperplane
Input vectors that are farthest from the hyperplane
Input vectors that are closest to the hyperplane
Select the application of decision trees in machine learning
Unsupervised learning
Infinite attributes
Flattening nodes
Classification
What are association rules?
Correlations and reliability between variables in a dataset
Correlations and relationships between variables in a dataset
Assumptions and mentorships between variables in a dataset
Aggregations and relationships between variables in a dataset
In convolutional neural networks, what does pooling reduce?
The number of parameters in a network
How few activations to implement
The number of max pixels
Insertions between convolutional layers
What is a Signal?
An overly complex model
A random noise in the data
Data gathering
The target patterns that you want to learn
Which one of these isn't an indicator of a models quality?
Consistency
Feature engineering
Size of a dataset
Precision and recall
What is computed by MSE in machine learning?
Classification
Entropy
Bias
Error
What is feature bagging?
A random subset of features for each subtree
Everything you want it to be
Nothing you want it to be
A deterministic subset of features for each subtree
What represent the values that will flow through the graph, in computational graph under Tensorflow?
Tuple
ops
Session
None of these
The assets library does not contain which of the following options?
Datasets
Pipelines
Modules
Models
In how many ways data can be imported using the Import Data module?
3
1
2
Which of the following data types is not available while previewing a schema?
Char
Boolean
Date
Decimal
Which one in the following is not Machine Learning disciplines?
Information Theory
Neurostatistics
Optimization + Control
Physics
What kind of learning algorithm for "Facial identities or facial expressions"?
Recognizing Anomalies
Prediction
Generating Patterns
Recognition Patterns
Estimate the price of a house
Cluster
Class
Regression
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
Identify parametric machine learning algorithms
Linear regression
CNN
Logistic regression
Naïve Bayes
Rescales the data into the range [0, 1]
Standardization
Normalization
