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Thinking Data Science

Overview of attention for book
Cover of 'Thinking Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Data Science Process
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    Chapter 2 Dimensionality Reduction
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    Chapter 3 Regression Analysis
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    Chapter 4 Decision Tree
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    Chapter 5 Ensemble: Bagging and Boosting
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    Chapter 6 K -Nearest Neighbors
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    Chapter 7 Naive Bayes
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    Chapter 8 Support Vector Machines
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    Chapter 9 Centroid-Based Clustering
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    Chapter 10 Connectivity-Based Clustering
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    Chapter 11 Gaussian Mixture Model
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    Chapter 12 Density-Based Clustering
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    Chapter 13 BIRCH
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    Chapter 14 CLARANS
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    Chapter 15 Affinity Propagation Clustering
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    Chapter 16 STING & CLIQUE
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    Chapter 17 Artificial Neural Networks
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    Chapter 18 ANN-Based Applications
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    Chapter 19 Automated Tools
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    Chapter 20 Data Scientist’s Ultimate Workflow
Attention for Chapter 8: Support Vector Machines
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