Principles of data science : learn the techniques and math you need to start making sense of your data /

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Ozdemir, Sinan (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham : Packt, 2016.
Subjects:
Database management.
Data structures (Computer science)
Data mining.
Data Mining
Bases de données > Gestion.
Structures de données (Informatique)
Exploration de données (Informatique)
COMPUTERS > Databases > General.
Data mining
Database management
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Principles of data science : learn the techniques and math you need to start making sense of your data
  • About the Author
  • About the Reviewers
  • Table of Contents
  • Preface
  • Chapter 1: How to Sound Like a Data Scientist
  • Chapter 2: Types of Data
  • Chapter 3: The Five Steps of Data Science
  • Chapter 4: Basic Mathematics
  • Chapter 5: Impossible or Improbable
  • A Gentle Introduction to Probability
  • Chapter 6: Advanced Probability
  • Chapter 7: Basic Statistics
  • Chapter 8: Advanced Statistics
  • Chapter 9: Communicating Data
  • Chapter 10: How to Tell If Your Toaster is Learning
  • Machine Learning Essentials
  • Chapter 11: Predictions Don't Grow on Trees
  • or Do They?
  • Chapter 12: Beyond the Essentials
  • Chapter 13: Case Studies
  • Index.

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