Computational and Inferential Thinking: The Foundations of Data Science
by Ani Adhikari, John DeNero
Publisher: GitBook 2017
Number of pages: 646
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.
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by John Whitington - Coherent Press
Using examples from the publishing industry, Whitington introduces the fascinating discipline of Computer Science to the uninitiated. Chapters: Putting Marks on Paper; Letter Forms; Storing Words; Looking and Finding; Typing it In; Saving Space; etc.
by David S. Touretzky - Benjamin-Cummings Pub Co
This is a gentle introduction to Common Lisp for students taking their first programming course. No prior mathematical background beyond arithmetic is assumed. There are lots of examples, the author avoided technical jargon.
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