machine learning cheatsheet, Cheat Sheet of Machine Learning

Download machine learning cheatsheet and more Cheat Sheet Machine Learning in PDF only on Docsity! Machine learning (ML) is a subfield of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way people learn, progressively improving its accuracy. Use this tree graph as a guide to which ML algorithm to use to solve your AI problems. (Principal Component Analysis) www.latinxinai.org Dimension Reduction Combining Variables? PCAProbabilistic? SVD (Singular Value Descomposition) LDA (Linear Discriminant Analysis) Working with Labeled Data? Hierarchical? Hierarchical Clustering Needs to Specify K? DBSCAN (Density-based Spatial Clustering of Applications with Noise) Categorical Variables? K-Modes Prefer Probability? K-Means GMM (Gaussian Mixture Models) Predicting Numbers? Speed or Accuracy? Speed or Accuracy? Accuracy Neural Network Gradient Boosting Tree Random Forest Speed Decision Tree Linear Regression Speed Explainable? Decision Tree Logistic Regression Accuracy Kernel Support- Vector Machine Neural Network Gradient Boosting Tree Random Forest Is the Data Too Large? Linear Support- Vector Machine Naive Bayes Naive Bayes Feature Selection Feature Extraction Unsupervised Learning: Dimension Reduction Supervised Learning: Regression Supervised Learning: Classification Unsupervised Learning: Clustering