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Statistics for Data Science Cover

Statistics for Data Science

Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

Publisher:Packt Publishing Limited
Paid access
|Jan 2025
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Table of contents

Table of Contents

  1. Transitioning from Data Developer to Data Scientist
  2. Declaring the Objectives
  3. A Developer Approach to Data Cleaning
  4. Data Mining and the Database Developer
  5. Statistical Analysis for the Database Developer
  6. Database Progression to Database Regression
  7. Regularization for Database Improvement
  8. Data Development and Assessment
  9. Databases and Neural Networks
  10. Boosting and your Database
  11. Database Classification using Support Vector Machines
  12. Database Structures & Machine Learning
PDF ISBN: 978-1-78829-534-5
Publisher: Packt Publishing Limited
Copyright owner: © 2017 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 286
Related subjects:
Computer sciences,
Programming and languages
BISAC subjects:
COM077000,
COM018000,
COM037000
Thema subjects:
UFM,
UNC,
GPH,
UYA,
UYQM

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