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Tidsskrift
PART 1: GETTING STARTED WITH PREDICTIVE ANALYTICS 1: Entering the Arena -- 2: Predictive Analytics in the Wild -- 3: Exploring Your Data Types and Associated Techniques -- 4: Complexities of Data PART 2: INCORPORATING ALGORITHMS IN YOUR MODELS 5: Applying Models -- 6: Identifying Similarities in Data -- 7: Predicting the Future Using Data Classification -- PART 3: DEVELOPING A ROADMAP 8: Convincing Your Management to Adopt Predictive Analytics -- 9: Preparing Data -- 10: Building a Predictive Model -- 11: Visualization of Analytical Results PART 4: PROGRAMMING PREDICTIVE ANALYTICS 12: Creating Basic Prediction Examples -- 13: Creating Basic Examples of Unsupervised Predictions -- 14: Predictive Modeling with R -- 15: Avoiding Analysis Traps PART 5: EXECUTING BIG DATA 16: Targeting Big Data -- 17: Getting Ready for Enterprise Analytics PART 6: THE PART OF TENS 18: Ten Reasons to Implement -- 19: Ten Steps to Build a Predictive Analytic Model
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