Numsense!DataSciencefortheLayman_NoMathA.epub

Numsense! Data Science for the Layman No Math Added Annalyn Ng and Kenneth Soo © 2017 Annalyn Ng and Kenneth Soo ISBN for EPUB version: 978-981-11-2822-6 ISBN for MOBI version: 978-981-11-2700-7 Table of Contents Foreword Preface Why Data Science? 1. Basics in a Nutshell 1.1 Data Preparation 1.2 Algorithm Selection 1.3 Parameter Tuning 1.4 Evaluating Results 1.5 Summary 2. k -Means Clustering 2.1 Finding Customer Clusters 2.2 Example: Personality Profiles of Movie Fans 2.3 Defining Clusters 2.4 Limitations 2.5 Summary 3. Principal Component Analysis 3.1 Exploring Nutritional Content of Food 3.2 Principal Components 3.3 Example: Analyzing Food Groups 3.4 Limitations 3.5 Summary 4. Association Rules 4.1 Discovering Purchasing Patterns 4.2 Support, Confidence and Lift 4.3 Example: Transacting Grocery Sales 4.4 Apriori Principle 4.5 Limitations 4.6 Summary 5. Social Network Analysis 5.1 Mapping out Relationships 5.2 Example: Geopolitics in Weapons Trade 5.3 Louvain Method 5.4 PageRank Algorithm 5.5 Limitations 5.6 Summary 6. Regression Analysis 6.1 Deriving a Trend Line 6.2 Example: Predicting House Prices 6.3 Gradient Descen......