Descrição
Creating segments/personas from existing customers, classifying customers according to their qualifications, without the need for complex machine learning algorithms with less effort
Performance evaluation of machine learning models for distributed
Time Series Anomaly Detection: Simple Yet Powerful Approaches
Approaching Anomaly Detection in Transactional Data
Data Science Project : Rule Based Classification
Data Science Project : Rule Based Classification
Demystifying Feature Engineering and Selection for Driver-Based
Human-Learn: Rule-Based Learning as an Alternative to Machine
Human-Learn: Rule-Based Learning as an Alternative to Machine
Science Cast
Anomaly Detection in Industrial Applications: Solution Design
Cem ÖZÇELİK – Medium
de
por adulto (o preço varia de acordo com o tamanho do grupo)
