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Applied Predictive Analytics: Principles and

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst. Dean Abbott

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst


Applied.Predictive.Analytics.Principles.and.Techniques.for.the.Professional.Data.Analyst.pdf
ISBN: 9781118727966 | 456 pages | 12 Mb


Download Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst



Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst Dean Abbott
Publisher: Wiley



May 1, 2014 - One way modelers reduce the likelihood of overfit is to apply the principle of Occam's Razor, where if two models exhibit the same accuracy, we will prefer the simpler model because it is more likely to generalize well. Oct 2, 2013 - The Pareto principle, generally known as the 80–20 rule, states that, for many events, roughly 80 per cent of the effects come from 20 per cent of the causes. Knowledge of Online Analytic Processing, Data Management principles, Statistical Data analysis, Data Visualization techniques, PhD, DBA and CBIP (Certified Business Intelligence Professional) preferred. Canonical Correlation Analysis, Check mark Request a STATISTICA Evaluation. Organization's data in order to support effective decision-making. Factor Analysis and Principle Components, Check mark. Features NOT included in the trial: Analysis templates, Check mark. Connection to OSIsoft's PI database, Check mark. Click here to fill out a short form to receive a free consulation to see if STATISTICA is right for you. On the left is the decision boundary from a linear model built using linear discriminant analysis (like LDA or the Fisher Discriminant) and on the right, a decision boundary built by a model using quadratic discriminant analysis (like the Bayes Rule). Jun 29, 2013 - Cluster Analysis Techniques, Check mark. The course will further develop students' understanding of statistical and analytic techniques used in forecasting and predictive analysis. Nov 27, 2013 - Brief Description of degree program: Designed for students who have an interest in quantitative methods, exploring and uncovering relationships through data analysis, using the data to solve business problems, and want to enter or advance in a career in This full-time, 15-month professional master's degree immerses students in a comprehensive and applied curriculum exploring the underlying data science, information technology and business of analytics. Role-based user interface and security, Check mark.

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