Index

A

• APIs
  • for scikit-learn classifiers / Common APIs for scikit-learn classifiers
• Artificial Intelligence (AI)
  • evaluation techniques / Classification overview and evaluation techniques, Evaluation

B

• binary classification / Classification overview and evaluation techniques
• bird species identifier
  • revisiting, images used / Revisiting the bird species identifier to use images

C

• clustering method / Classification overview and evaluation techniques
• convolutional neural network (CNN) / Predicting bird species with random forests, Convolutions and pooling

D

• decision trees
  • about / Decision trees
  • used, for predicting student performance data / Prediction involving decision trees and student performance data
• deep learning methods
  • about / Deep learning methods
  • convolutions / Convolutions and pooling
  • pooling / Convolutions and pooling
• Doc2Vec
  • about / Doc2Vec
  • document vector / Document vector
• document vector / Document vector

H

• handwritten mathematical symbols
  • identifying, with CNNs / Identifying handwritten mathematical symbols with CNNs
• hyperparameters / Identifying handwritten mathematical symbols with CNNs

K

• K-fold cross validation / Evaluation

M

• Mel-frequency cepstral coefficients (MFCC) / Identifying the genre of a song with neural networks

N

• neural networks
  • about / Understanding neural networks
  • feed-forward / Feed-forward neural networks, Identifying the genre of a song with neural networks
  • genre of song, identifying / Identifying the genre of a song with neural networks
  • used, for revising spam detector / Revising the spam detector to use neural networks

O

• one-hot encoding / Prediction involving decision trees and student performance data

P

• Pipeline / Detecting YouTube comment spam
• predictions / Feed-forward neural networks

R

• random forests
  • about / Random forests
  • usage / Usage of random forest
  • used, for predicting bird species / Predicting bird species with random forests
  • confusion matrix, creating for data / Making a confusion matrix for the data

S

• Skip-gram / Word2Vec models
• spam detector
  • revising, neural networks used / Revising the spam detector to use neural networks
• student performance dataset
  • reference link / Prediction involving decision trees and student performance data
• supervised learning / Classification overview and evaluation techniques

T

• term frequency inverse document frequency (TF-IDF) / Bag of words
• text classification
  • about / Text classification
  • machine learning techniques / Machine learning techniques
  • bag of words / Bag of words

U

• user reviews
  • positive sentiments, detecting / Detecting positive or negative sentiments in user reviews
  • negative sentiments, detecting / Detecting positive or negative sentiments in user reviews

V

• voting / Random forests

W

• Word2Vec models
  • about / Word2Vec models
  • Doc2Vec / Doc2Vec

Y

• YouTube comment spam
  • detecting / Detecting YouTube comment spam