Description
Taylor and Francis Ltd Data Mining and Exploration 1st Edition 2022 Hardbound by Alex Yu, Chong Ho
Helps readers to transition from traditional statistics to modern data science_x000D__x000D__x000D__x000D_Reviews the pros and cons of open source and commercial software packages, and their proper applications in specific situations._x000D__x000D__x000D__x000D_Explores data using dynamic methods rather than counting on dichotomous thinking._x000D__x000D__x000D__x000D_Considers alternate models using ensemble models and model comparison rather than fixing a preconceived hypothesis/model on a single method._x000D__x000D__x000D__x000D_Shows how to find the hidden pattern in the data by dynamic visualization rather than over-relying on numeric results._x000D_ _x000D_
1. Re-examination of Traditional Statistics 2. Why Data Science? 3. Cutting Edge Data Analytical Tools 4. Exploratory Data Analysis and Data Visualization: Pattern Seeking 5. Generalized Regression: Penalty against Complexity 6. Classification and Model Screening 7. Ensemble Methods: The Wisdom of the Crowd 8. Dimension Reduction: Breaking the Curse of Dimensionality 9. Clustering: Divide and Conquer 10. Neural Networks: Machines Mimic Human Intelligence 11. Text Mining: Structure the Unstructured_x000D_