Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. Machine learning is often used to build predictive models by extracting patterns from large datasets.
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. This edition incorporates a number of first-time features to help students prepare for the AP exam, plus more simulations and statistical thinking help, and instructions for the TI-89 graphic calculator." Fundamentals of Machine Learning for Predictive Data Analytics, second edition - Algorithms, Worked Examples, and Case Studies Tailored to mirror the AP Statistics course, "The Practice of Statistics" became a classroom favorite. It provides worked-out examples to help students fully understand and use their graphing calculator The Practice of Statistics
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Organized to follow the sequence of topics in the text, this manual is an easy-to-follow, step-by-step guide on how to use the TI-83/84 Plus and TI-89 graphing calculators. STATS Modeling the World - AP* Instructor's Solutions Manual Stats - Modeling the World Graphing Calculator Manual for Stats - Modeling the World