The Data Science Design Manual
Ranked #13 in Computer Vision, Ranked #19 in Graph Theory — see more rankings.
This book serves an introduction to data science, focusing on the skills and principles needed to build systems for collecting, analyzing, and interpreting data. As a discipline, data science sits at the intersection of statistics, computer science, and machine learning, but it is building a distinct heft and character of its own.
In particular, the book stresses the following basic principles as fundamental to becoming a good data scientist: "Valuing Doing the Simple Things Right," laying the groundwork of what really matters in analyzing data; "Developing Mathematical Intuition,"... more
In particular, the book stresses the following basic principles as fundamental to becoming a good data scientist: "Valuing Doing the Simple Things Right," laying the groundwork of what really matters in analyzing data; "Developing Mathematical Intuition,"... more
Rankings by Category
The Data Science Design Manual is ranked in the following categories:
- #33 in Data Mining
Similar Books
If you like The Data Science Design Manual, check out these similar top-rated books:
