Python and Machine Learning Concepts

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A set of flashcards covering key concepts from Python programming and machine learning as discussed in the lecture notes.

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16 Terms

1
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What is the purpose of a function in Python?

To package a set of instructions together under a single name that takes input parameters and returns output.

2
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What keyword is used to declare a function in Python?

Def

3
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What value always occupies the center diagonal of a correlation matrix?

1

4
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What type of loop iterates over a sequence of values in Python?

For loop

5
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Which Python package must be imported for machine learning and was used for linear regression?

sklearn

6
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What type of machine learning problem is solved using Logistic Regression?

Classification

7
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In the context of machine learning advancements, what does Prediction Machines compare the evolution of to?

Light

8
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What critical component of intelligence did prediction machines suggest is actually brought by current AI advances?

Prediction

9
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What term describes the negative societal outcomes caused by unrepresentative training sets in machine learning?

Bias

10
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What type of learning in machine learning deals with complex and rapidly changing processes?

Deep/Reinforcement learning

11
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What type of regression answers questions like 'how many/how much?'

Linear Regression

12
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What algorithm provides yes/no answers in machine learning?

Logistic Regression

13
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What is the branch of machine learning with no defined questions and answers, only features?

Unsupervised learning

14
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In supervised learning, what are the two sets into which the dataset is split?

Testing set and training set.

15
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In Linear Regression, what is the variable on the X-axis called?

Feature or predictor.

16
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In Linear Regression, what is the variable on the Y-axis called?

Outcome or prediction.