{"id":129447,"date":"2023-05-09T16:46:08","date_gmt":"2023-05-09T11:16:08","guid":{"rendered":"https:\/\/www.vskills.in\/certification\/tutorial\/?page_id=129447"},"modified":"2024-04-12T14:33:49","modified_gmt":"2024-04-12T09:03:49","slug":"machine-learning-using-python-glossary","status":"publish","type":"page","link":"https:\/\/www.vskills.in\/certification\/tutorial\/machine-learning-using-python-glossary\/","title":{"rendered":"Machine Learning using Python Glossary"},"content":{"rendered":"\n<p>Important definitions and terminologies used in Machine Learning using Python<\/p>\n\n\n<div id=\"glossary\">\n<div id=\"letter-links\" style=\"font-size: 30px;letter-spacing:20px;\"><a href=\"#A\">A<\/a><a href=\"#B\">B<\/a><a href=\"#C\">C<\/a><a href=\"#D\">D<\/a><a href=\"#E\">E<\/a><a href=\"#F\">F<\/a><a href=\"#G\">G<\/a><a href=\"#H\">H<\/a><a href=\"#I\">I<\/a><a href=\"#K\">K<\/a><a href=\"#L\">L<\/a><a href=\"#M\">M<\/a><a href=\"#N\">N<\/a><a href=\"#O\">O<\/a><a href=\"#P\">P<\/a><a href=\"#R\">R<\/a><a href=\"#S\">S<\/a><a href=\"#T\">T<\/a><a href=\"#U\">U<\/a><a href=\"#V\">V<\/a><a href=\"#W\">W<\/a><a href=\"#X\">X<\/a><a href=\"#Y\">Y<\/a><a href=\"#Z\">Z<\/a><\/div>\n<h2 id=\"A\">A<\/h2>\n<ul>\n<li>Accuracy in Machine Learning using Python<\/li>\n<li>activation function in Machine Learning using Python<\/li>\n<li>activation maximization in Machine Learning using Python<\/li>\n<li>AdaBoost in Machine Learning using Python<\/li>\n<li>algorithm in Machine Learning using Python<\/li>\n<li>artificial intelligence in Machine Learning using Python<\/li>\n<li>attention mechanism in Machine Learning using Python<\/li>\n<li>Attribute in Machine Learning using Python<\/li>\n<li>autoencoder in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"B\">B<\/h2>\n<ul>\n<li>backpropagation in Machine Learning using Python<\/li>\n<li>batch gradient descent in Machine Learning using Python<\/li>\n<li>batch normalization in Machine Learning using Python<\/li>\n<li>Bayesian methods in Machine Learning using Python<\/li>\n<li>bias in Machine Learning using Python<\/li>\n<li>Bias metric in Machine Learning using Python<\/li>\n<li>Bias term in Machine Learning using Python<\/li>\n<li>bias-variance tradeoff in Machine Learning using Python<\/li>\n<li>binary classification in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"C\">C<\/h2>\n<ul>\n<li>Categorical Variables in Machine Learning using Python<\/li>\n<li>Classification in Machine Learning using Python<\/li>\n<li>Classification Threshold in Machine Learning using Python<\/li>\n<li>Clustering in Machine Learning using Python<\/li>\n<li>Confusion Matrix in Machine Learning using Python<\/li>\n<li>Continuous Variables in Machine Learning using Python<\/li>\n<li>Convergence in Machine Learning using Python<\/li>\n<li>convolutional neural network in Machine Learning using Python<\/li>\n<li>cross-entropy loss in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"D\">D<\/h2>\n<ul>\n<li>data augmentation in Machine Learning using Python<\/li>\n<li>decision boundary. in Machine Learning using Python<\/li>\n<li>decision tree in Machine Learning using Python<\/li>\n<li>Deduction in Machine Learning using Python<\/li>\n<li>deep learning in Machine Learning using Python<\/li>\n<li>Dimension in Machine Learning using Python<\/li>\n<li>dimensionality reduction in Machine Learning using Python<\/li>\n<li>dropout in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"E\">E<\/h2>\n<ul>\n<li>early stopping in Machine Learning using Python<\/li>\n<li>embedding in Machine Learning using Python<\/li>\n<li>ensemble learning in Machine Learning using Python<\/li>\n<li>Epoch in Machine Learning using Python<\/li>\n<li>Extrapolation in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"F\">F<\/h2>\n<ul>\n<li>False Positive Rate in Machine Learning using Python<\/li>\n<li>feature engineering in Machine Learning using Python<\/li>\n<li>Feature in Machine Learning using Python<\/li>\n<li>feature selection in Machine Learning using Python<\/li>\n<li>Feature Vector in Machine Learning using Python<\/li>\n<li>feedforward neural network in Machine Learning using Python<\/li>\n<li>fine-tuning in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"G\">G<\/h2>\n<ul>\n<li>generative adversarial network (GAN) in Machine Learning using Python<\/li>\n<li>Gradient Accumulation in Machine Learning using Python<\/li>\n<li>gradient descent in Machine Learning using Python<\/li>\n<li>grid search in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"H\">H<\/h2>\n<ul>\n<li>hyperparameter tuning in Machine Learning using Python<\/li>\n<li>Hyperparameters in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"I\">I<\/h2>\n<ul>\n<li>imbalanced data in Machine Learning using Python<\/li>\n<li>imputation in Machine Learning using Python<\/li>\n<li>Induction in Machine Learning using Python<\/li>\n<li>Instance in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"K\">K<\/h2>\n<ul>\n<li>K-means clustering in Machine Learning using Python<\/li>\n<li>kernel methods in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"L\">L<\/h2>\n<ul>\n<li>L1 regularization in Machine Learning using Python<\/li>\n<li>L2 regularization in Machine Learning using Python<\/li>\n<li>Label in Machine Learning using Python<\/li>\n<li>learning rate in Machine Learning using Python<\/li>\n<li>logistic regression in Machine Learning using Python<\/li>\n<li>loss function in Machine Learning using Python<\/li>\n<li>Loss in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"M\">M<\/h2>\n<ul>\n<li>machine learning in Machine Learning using Python<\/li>\n<li>mean squared error in Machine Learning using Python<\/li>\n<li>model evaluation in Machine Learning using Python<\/li>\n<li>Model in Machine Learning using Python<\/li>\n<li>model selection in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"N\">N<\/h2>\n<ul>\n<li>Naive Bayes in Machine Learning using Python<\/li>\n<li>natural language processing in Machine Learning using Python<\/li>\n<li>neural network in Machine Learning using Python<\/li>\n<li>Neural Networks in Machine Learning using Python<\/li>\n<li>Noise in Machine Learning using Python<\/li>\n<li>Normalization in Machine Learning using Python<\/li>\n<li>Null Accuracy in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"O\">O<\/h2>\n<ul>\n<li>Observation in Machine Learning using Python<\/li>\n<li>one-hot encoding in Machine Learning using Python<\/li>\n<li>outlier detection in Machine Learning using Python<\/li>\n<li>Outlier in Machine Learning using Python<\/li>\n<li>overfitting in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"P\">P<\/h2>\n<ul>\n<li>Parameters in Machine Learning using Python<\/li>\n<li>PCA (Principal Component Analysis) in Machine Learning using Python<\/li>\n<li>precision in Machine Learning using Python<\/li>\n<li>precision-recall curve in Machine Learning using Python<\/li>\n<li>principal component analysis (PCA) in Machine Learning using Python<\/li>\n<li>probability density function in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"R\">R<\/h2>\n<ul>\n<li>random forest in Machine Learning using Python<\/li>\n<li>Recall in Machine Learning using Python<\/li>\n<li>Recall vs Precision in Machine Learning using Python<\/li>\n<li>recurrent neural network (RNN) in Machine Learning using Python<\/li>\n<li>Regression in Machine Learning using Python<\/li>\n<li>regularization in Machine Learning using Python<\/li>\n<li>reinforcement learning in Machine Learning using Python<\/li>\n<li>ridge regression in Machine Learning using Python<\/li>\n<li>ROC (Receiver Operating Characteristic) Curve in Machine Learning using Python<\/li>\n<li>ROC curve in Machine Learning using Python<\/li>\n<li>root mean squared error (RMSE) in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"S\">S<\/h2>\n<ul>\n<li>scaling in Machine Learning using Python<\/li>\n<li>scikit-learn in Machine Learning using Python<\/li>\n<li>Segmentation in Machine Learning using Python<\/li>\n<li>sentiment analysis in Machine Learning using Python<\/li>\n<li>sequential data in Machine Learning using Python<\/li>\n<li>sigmoid function in Machine Learning using Python<\/li>\n<li>Specificity in Machine Learning using Python<\/li>\n<li>stochastic gradient descent in Machine Learning using Python<\/li>\n<li>Supervised Learning in Machine Learning using Python<\/li>\n<li>support vector machine in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"T\">T<\/h2>\n<ul>\n<li>TensorFlow in Machine Learning using Python<\/li>\n<li>Test Set in Machine Learning using Python<\/li>\n<li>time series forecasting in Machine Learning using Python<\/li>\n<li>Training Set in Machine Learning using Python<\/li>\n<li>transfer learning in Machine Learning using Python<\/li>\n<li>True Positive Rate in Machine Learning using Python<\/li>\n<li>Type 1 Error in Machine Learning using Python<\/li>\n<li>Type 2 Error in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"U\">U<\/h2>\n<ul>\n<li>underfitting in Machine Learning using Python<\/li>\n<li>Universal Approximation Theorem in Machine Learning using Python<\/li>\n<li>unsupervised learning in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"V\">V<\/h2>\n<ul>\n<li>validation curve in Machine Learning using Python<\/li>\n<li>validation set in Machine Learning using Python<\/li>\n<li>variance in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"W\">W<\/h2>\n<ul>\n<li>word embedding in Machine Learning using Python<\/li>\n<li>word2vec in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"X\">X<\/h2>\n<ul>\n<li>XGBoost in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"Y\">Y<\/h2>\n<ul>\n<li>YOLO (You Only Look Once) in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"Z\">Z<\/h2>\n<ul>\n<li>zero-padding. in Machine Learning using Python<\/li>\n<li>zero-shot learning in Machine Learning using Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Important definitions and terminologies used in Machine Learning using Python ABCDEFGHIKLMNOPRSTUVWXYZ 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&#8230;<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-129447","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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