#supervised-learning

#supervised-learning

Supervised learning is preferred for fraud prediction, but organizations must not overlook the potential of unsupervised learning to detect new fraud patterns. [ more ]

Focus on concepts over implementations for lasting ML understanding.

Reinforcement learning operates through rewards similar to points in a game.

Learning ML should commence with core ideas, not technical details. [ more ]

Linguistic unity is crucial for building large complex civilizations. [ more ]

Supervised learning is a method to train AI using labeled data. [ more ]

Understanding train_test_split() from sklearn library is crucial for data splitting in supervised ML. [ more ]

Machine learning algorithms categorized into Regression, Clustering, and Classification. Clustering - unsupervised, Classification - supervised.

Basic overview of clustering and classification, including differences and similarities between the two approaches. [ more ]