• Title: Computational and Inferential Thinking: The Foundations of Data Science
• Author(s) Ani Adhikari, John DeNero
• Publisher: Self Publishing (2021); eBook (Creative Commons Licensed)
• License(s): CC BY-NC-ND 4.0
• Hardcover/Paperback: N/A
• eBook: HTML/Jupyter Notebooks and PDF (646 pages)
• Language: English
• ISBN-10/ASIN: N/A
• ISBN-13: N/A
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Book Description

Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical tests and models.

Step by step, you'll learn how to leverage algorithmic thinking and the power of code, gain intuition about the power and limitations of current machine learning methods, and effectively apply them to real business problems.

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• Amazon

• Data Science
• Data Analysis and Data Mining, Big Data
• Statistics, Mathematical Statistics, and SAS Programming

• Computational and Inferential Thinking: The Foundations of Data Science (Ani Adhikari, et al)
• The Mirror Site (1) - PDF

• Statistical Inference: Algorithms, Evidence, and Data Science
• Data Science: Theories, Models, Algorithms, and Analytics
• Introduction to Data Science (Jeffrey Stanton)
• Exploring Data Science (Nina Zumel, et al)