My AI model should do:
Описание вопроса 1
Predict a binary outcome
Classification. Used for: Spam filtering, language detection, a search of similar documents, sentiment analysis, recognition of handwritten characters, and fraud detection
Predict a numeric value
Regression. Used for: Forecasting stock prices, predicting sales volume, etc
Group similar things together
Clustering (Classical ML). Popular use case: For customer segmentation, labeling data, detecting anomalous behavior, etc
Infer patterns (associations) in data
Association Rule (Classical ML). Popular use cases: Helping stores cross-sell products, uncovering how items are related or complementary, and understanding which symptoms are likely to co-occur in a patient (comorbidity)
To generalize data and distill the relevant information
Dimensionality Reduction (Classical ML). Popular use-cases: Recommender systems, topic modeling, modeling semantics, document search, face recognition, and anomaly detection