Hands-on AI

Question 1

matplotlib

Answer 1

plotting tool

Question 2

pyplot

Answer 2

submodule matplotlib, simpler plotting functionalities

Question 3

pandas

Answer 3

Library for handling tubular data

Question 4

Sklearn

Answer 4

scikit-learn
Simple and efficient tool for ML, data mining and data analysis

Question 5

seaborn

Answer 5

Visualization library
Built on matplotlib

Question 6

Pytorch

Answer 6

Machine learning framework. deep learning

Question 7

Nyquist-Shannon theorem

Answer 7

A signal is completely determined by a series of points that are >1/2f seconds apart.
The sampling rate must be >2f

Question 8

Fourier transformation

Answer 8

Decomposes a signal into its constituent frequencies

Question 9

Evaluation of performance on our data

Answer 9

Loss function

Question 10

Evaluation of performance on future data

Answer 10

Generalization error/risk

Question 11

Estimation of generalization error

Answer 11

Empirical risk minimization

Question 12

Softmax

Answer 12

Generalization of sigmoid function

Question 13

Loss for regression

Answer 13

Mean-squared error

Question 14

Loss for classification

Answer 14

Cross-entropy error

Question 15

Auxiliary classifiers

Answer 15

Additional output heads trained with the same target

Question 16

Residual connections

Answer 16

Adding a layer’s input to its output creates a gradient shortcut.