Machine Learning using Python Glossary

A

• Accuracy in Machine Learning using Python
• activation function in Machine Learning using Python
• activation maximization in Machine Learning using Python
• AdaBoost in Machine Learning using Python
• algorithm in Machine Learning using Python
• artificial intelligence in Machine Learning using Python
• attention mechanism in Machine Learning using Python
• Attribute in Machine Learning using Python
• autoencoder in Machine Learning using Python

B

• backpropagation in Machine Learning using Python
• batch gradient descent in Machine Learning using Python
• batch normalization in Machine Learning using Python
• Bayesian methods in Machine Learning using Python
• bias in Machine Learning using Python
• Bias metric in Machine Learning using Python
• Bias term in Machine Learning using Python
• bias-variance tradeoff in Machine Learning using Python
• binary classification in Machine Learning using Python

C

• Categorical Variables in Machine Learning using Python
• Classification in Machine Learning using Python
• Classification Threshold in Machine Learning using Python
• Clustering in Machine Learning using Python
• Confusion Matrix in Machine Learning using Python
• Continuous Variables in Machine Learning using Python
• Convergence in Machine Learning using Python
• convolutional neural network in Machine Learning using Python
• cross-entropy loss in Machine Learning using Python

D

• data augmentation in Machine Learning using Python
• decision boundary. in Machine Learning using Python
• decision tree in Machine Learning using Python
• Deduction in Machine Learning using Python
• deep learning in Machine Learning using Python
• Dimension in Machine Learning using Python
• dimensionality reduction in Machine Learning using Python
• dropout in Machine Learning using Python

E

• early stopping in Machine Learning using Python
• embedding in Machine Learning using Python
• ensemble learning in Machine Learning using Python
• Epoch in Machine Learning using Python
• Extrapolation in Machine Learning using Python

F

• False Positive Rate in Machine Learning using Python
• feature engineering in Machine Learning using Python
• Feature in Machine Learning using Python
• feature selection in Machine Learning using Python
• Feature Vector in Machine Learning using Python
• feedforward neural network in Machine Learning using Python
• fine-tuning in Machine Learning using Python

G

• generative adversarial network (GAN) in Machine Learning using Python
• Gradient Accumulation in Machine Learning using Python
• gradient descent in Machine Learning using Python
• grid search in Machine Learning using Python

H

• hyperparameter tuning in Machine Learning using Python
• Hyperparameters in Machine Learning using Python

I

• imbalanced data in Machine Learning using Python
• imputation in Machine Learning using Python
• Induction in Machine Learning using Python
• Instance in Machine Learning using Python

K

• K-means clustering in Machine Learning using Python
• kernel methods in Machine Learning using Python

L

• L1 regularization in Machine Learning using Python
• L2 regularization in Machine Learning using Python
• Label in Machine Learning using Python
• learning rate in Machine Learning using Python
• logistic regression in Machine Learning using Python
• loss function in Machine Learning using Python
• Loss in Machine Learning using Python

M

• machine learning in Machine Learning using Python
• mean squared error in Machine Learning using Python
• model evaluation in Machine Learning using Python
• Model in Machine Learning using Python
• model selection in Machine Learning using Python

N

• Naive Bayes in Machine Learning using Python
• natural language processing in Machine Learning using Python
• neural network in Machine Learning using Python
• Neural Networks in Machine Learning using Python
• Noise in Machine Learning using Python
• Normalization in Machine Learning using Python
• Null Accuracy in Machine Learning using Python

O

• Observation in Machine Learning using Python
• one-hot encoding in Machine Learning using Python
• outlier detection in Machine Learning using Python
• Outlier in Machine Learning using Python
• overfitting in Machine Learning using Python

P

• Parameters in Machine Learning using Python
• PCA (Principal Component Analysis) in Machine Learning using Python
• precision in Machine Learning using Python
• precision-recall curve in Machine Learning using Python
• principal component analysis (PCA) in Machine Learning using Python
• probability density function in Machine Learning using Python

R

• random forest in Machine Learning using Python
• Recall in Machine Learning using Python
• Recall vs Precision in Machine Learning using Python
• recurrent neural network (RNN) in Machine Learning using Python
• Regression in Machine Learning using Python
• regularization in Machine Learning using Python
• reinforcement learning in Machine Learning using Python
• ridge regression in Machine Learning using Python
• ROC (Receiver Operating Characteristic) Curve in Machine Learning using Python
• ROC curve in Machine Learning using Python
• root mean squared error (RMSE) in Machine Learning using Python

S

• scaling in Machine Learning using Python
• scikit-learn in Machine Learning using Python
• Segmentation in Machine Learning using Python
• sentiment analysis in Machine Learning using Python
• sequential data in Machine Learning using Python
• sigmoid function in Machine Learning using Python
• Specificity in Machine Learning using Python
• stochastic gradient descent in Machine Learning using Python
• Supervised Learning in Machine Learning using Python
• support vector machine in Machine Learning using Python

T

• TensorFlow in Machine Learning using Python
• Test Set in Machine Learning using Python
• time series forecasting in Machine Learning using Python
• Training Set in Machine Learning using Python
• transfer learning in Machine Learning using Python
• True Positive Rate in Machine Learning using Python
• Type 1 Error in Machine Learning using Python
• Type 2 Error in Machine Learning using Python

U

• underfitting in Machine Learning using Python
• Universal Approximation Theorem in Machine Learning using Python
• unsupervised learning in Machine Learning using Python

V

• validation curve in Machine Learning using Python
• validation set in Machine Learning using Python
• variance in Machine Learning using Python

W

• word embedding in Machine Learning using Python
• word2vec in Machine Learning using Python

X

• XGBoost in Machine Learning using Python

Y

• YOLO (You Only Look Once) in Machine Learning using Python

Z

• zero-padding. in Machine Learning using Python
• zero-shot learning in Machine Learning using Python