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Artificial Intelligence and Machine Learning Introduction --- Predictive Data Analytics 1 What is Predictive Data Analytics? Analytics is the systematic computational analysis of data or statistics, that leads to discovery, interpretation, and communication of meaningful patterns in data. Predictive Data Analytics encompasses the business and data processes and computational models that enable a business to make data-driven decisions. 2 Predictive Data Analytics 3 Potential Applications (I) Intelligence gathering Tracking terrorists Detecting fraud Marketing and Customer Relationship Propensity modelling Price prediction Risk assessment 4 Potential Applications (II) Internet Analysis and Security Spam detection Document classification Scientific Applications Bioinformatics/genomics Dosage prediction Diagnosis Astronomical data processing 5 How can machine learning help with predictive data analytics? What predictive data analytics wants to achieve: data to patterns (models) What machine learning can achieve: a set of historical examples (data) to models Machine learning techniques in predictive data analytics automatically learn a model of the relationship between a set of descriptive features and a target feature. 6 Predictive Data Analytics Steps Understanding Domain Knowledge (the Business) Collecting/Preparing the Data Selecting the ML Algorithm to Build the Model Evaluating/Testing the Model Deploying the Model 7 Predictive Data Analytics Steps 8