Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition - Helion
Tytuł oryginału: Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
ISBN: 9781789809596
stron: 424, Format: ebook
Data wydania: 2018-12-26
Księgarnia: Helion
Cena książki: 139,00 zł
Need to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You’ll feel confident asking—and answering—complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas.
Going through the data science pipeline, you'll clean and prepare data and learn effective data mining strategies and techniques to gain a comprehensive view of how the data science puzzle fits together. You’ll learn fundamentals of computational mathematics and statistics and pseudo-code used by data scientists and analysts. You’ll learn machine learning, discovering statistical models that help control and navigate even the densest datasets, and learn powerful visualizations that communicate what your data means.
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Spis treści
Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition eBook -- spis treści
- 1. How to Sound like a Data Scientist
- 2. Types of Data
- 3. The Five Steps of Data Science
- 4. Basic Mathematics
- 5. Impossible or Improbable? – A Gentle Introduction to Probability
- 6. Advanced Probability
- 7. Basic Statistics
- 8. Advanced Statistics
- 9. Communicating Data
- 10. How to tell if your toaster is learning -- Machine Learning Essentials
- 11. Predictions Don’t Grow on Trees, or do they?
- 12. Beyond The Essentials
- 13. Case Studies
- 14. Microsoft Azure Databricks
- 15. Building Machine Learning Models with Azure Databricks and Azure ML