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Algorithms for Data Science

Overview of attention for book
Algorithms for Data Science
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Data Mapping and Data Dictionaries
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    Chapter 3 Scalable Algorithms and Associative Statistics
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    Chapter 4 Hadoop and MapReduce
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    Chapter 5 Data Visualization
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    Chapter 6 Linear Regression Methods
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    Chapter 7 Healthcare Analytics
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    Chapter 8 Cluster Analysis
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    Chapter 9 k-Nearest Neighbor Prediction Functions
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    Chapter 10 The Multinomial Naïve Bayes Prediction Function
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    Chapter 11 Forecasting
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    Chapter 12 Real-time Analytics
Attention for Chapter 9: k-Nearest Neighbor Prediction Functions
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