From Concepts to Code

ISBN-13: 9781032517988 / Miękka / 2024 / 400 str.

Adam P. Tashman

Opis

The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools and skills to a broad audience. The necessary background in computer science, mathematics, and statistics is provided in an approachable manner.

Spis treści

1. Introduction  2. Communicating Effectively and Earning Trust  3. Data Science Project Planning  4. An Overview of Data  5. Computing Preliminaries and Setup  6. Data Processing  7. Data Storage and Retrieval  8. Mathematics Preliminaries  9. Statistics Preliminaries  10. Data Transformation  11. Exploratory Data Analysis  12. An Overview of Machine Learning  13. Modeling with Linear Regression  14. Classification with Logistic Regression  15. Clustering with K-Means  16. Elements of Reproducible Data Science  17. Model Risk  18. Next Steps  Symbols

O autorze

Adam P. Tashman has been working in data science for over twenty years. He is Associate Professor of Data Science at the University of Virginia School of Data Science. He is currently Director of the Capstone program, and he was formerly Director of the Online Master's of Data Science program. He was the School of Data Science Capital One Fellow for the 2023-2024 academic year. Adam won multiple awards at Amazon Web Services, where he advised education and government technology companies on best practices in machine learning and artificial intelligence. Adam lives in Charlottesville, VA with his wonderful wife Elle and daughter Callie.