# Learn #MachineLearning Coding Basics in a weekend – Glossary and Mindmap

Learn #MachineLearning Coding Basics in a weekend – Glossary and Mindmap

For background to this post, please see Learn #MachineLearning Coding Basics in a weekend. Here,we present the glossary that we use for the coding and the mindmap attached to these classes and upcoming book.

The following entries (see below) are part of the glossary. The glossary is available as a PDF document. You can download it here.

Contents

Machine Learning concepts 4

Learning Algorithm 4

Predictive Model (Model) 4

Model, Classification 4

Model, Regression 4

Representation Learning 4

Supervised Learning 4

Unsupervised Learning 4

Semi-Supervised Learning 5

Parameter 5

Population 5

Algorithms 5

Linear Regression 5

Principal Component Analysis (PCA) 5

K-Means 6

Support Vector Machine (SVM) 7

Transfer Learning 7

Decision Tree 7

Dimensionality Reduction 8

Instance based learning 8

Instance-Based Learning 8

K Nearest Neighbors 8

Kernel 9

Training: Basics 9

Training 9

Training Example 9

Training Set 9

Iteration 9

Convergence 9

Training: Data 10

Standardization 10

Holdout Set 10

Normalization 10

One-Hot Encoding 10

Outlier 11

Embedding 11

Regression 12

Regression 12

Regression Algorithm 12

Regression Model 12

Classification 12

Classification 12

Class 12

Hyperplane 12

Decision Boundary 12

False Negative (FN) 13

False Positive (FP) 13

True Negative (TN) 13

True Positive (TP) 13

Precision 13

Recall 14

F1 Score 14

Few-Shot Learning 14

Hinge Loss 14

Log Loss 14

Ensemble 15

Ensemble 15

Ensemble Learning 15

Strong Classifier 15

Weak Classifier 15

Boosting 15

Evaluation 15

Validation Example 15

Validation Loss 15

Validation Set 16

Variance 16

Cost Function 16

Cross-Validation 16

Overfitting 16

Regularization 16

Underfitting 16

Evaluation Metrics 17

Evaluation Metric 17

Regression metrics 17

Mean Absolute Error. 17

Mean Squared Error. 17

R^2 17

Classification metrics 17

Accuracy. 17

Logarithmic Loss. 17

Area Under ROC Curve. 17

Confusion Matrix. 17

Hyperparameter 18

Hyperparameter 18

Hyperparameter Tuning 18

Grid Search 18

Random Search 18

Link: Learn #MachineLearning Coding Basics in a weekend – Glossary and Mindmap