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Principles of Data Science Cover

Principles of Data Science

Mathematical techniques and theory to succeed in data-driven industries

Paid access
|Dec 2016
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Table of Contents

  1. How to Sound like a Data Scientist
  2. Types of Data
  3. The Five Steps of Data Science
  4. Mathematics -- The Basics
  5. Impossible or Improbable?
  6. Advanced Probability
  7. What are the Chances?
  8. Advanced Statistics
  9. Say What? -- Communicating Data
  10. How to tell if your toaster is learning -- Machine Learning Essentials
  11. Predictions Don
  12. Beyond the Essentials
  13. Case Studies
PDF ISBN: 978-1-78588-892-2
Publisher: Packt Publishing Limited
Copyright owner: © 2016 Packt Publishing Limited
Publication date: 2016
Language: English
Pages: 388