Data Smart by John W. Foreman
Using Data Science to Transform Information into Insight
A practical, hands-on guide that teaches how to perform predictive analytics and basic machine learning using familiar spreadsheet tools, walking readers through step-by-step implementations of techniques such as clustering, linear and logistic regression, decision trees, naive Bayes, recommendation systems, and ensemble methods with worked examples and clear explanations of the underlying math and business use cases. The book emphasizes building and evaluating models with spreadsheet formulas and simple scripts, covers feature engineering and model validation, and shows how to visualize and deploy models to solve real-world business problems, making data science approachable for analysts without extensive programming backgrounds.
- Published
- 2013
- Nationality
- American
- Length
- Medium
- Pages
- 256
- Original Language
- English
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- Alternate Titles
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