Difference between revisions of "The Data Science Design Manual"
From The Data Science Design Manual Wikia
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Please do not use this resource to cheat on your class homework. Recognize that no authority certifies the correctness of these solutions; they could well have been submitted by the idiot who sits in the back row of your class. Also recognize that other students in your class have equal access to these solutions, and it is typically easy for professors to recognize when two students submit the same solution. | Please do not use this resource to cheat on your class homework. Recognize that no authority certifies the correctness of these solutions; they could well have been submitted by the idiot who sits in the back row of your class. Also recognize that other students in your class have equal access to these solutions, and it is typically easy for professors to recognize when two students submit the same solution. | ||
| − | * [data-science-TDSM|What is Data Science?]] | + | * [[data-science-TDSM|What is Data Science?]] |
* [[mathematical-preliminaries-TDSM|Mathematical Preliminaries]] | * [[mathematical-preliminaries-TDSM|Mathematical Preliminaries]] | ||
* [[data-munging-TDSM|Data Munging]] | * [[data-munging-TDSM|Data Munging]] | ||
Revision as of 19:24, 31 March 2017
Solutions for selected exercises/problems
The Wiki is an experiment, a grass-roots effort to create an answer key to aid self-study with Steven Skiena's The Data Science Design Manual. Students and other readers are encouraged to contribute hints and answers to all odd numbered problems in the book, or expand/improve the solution contributed by others.
Please do not use this resource to cheat on your class homework. Recognize that no authority certifies the correctness of these solutions; they could well have been submitted by the idiot who sits in the back row of your class. Also recognize that other students in your class have equal access to these solutions, and it is typically easy for professors to recognize when two students submit the same solution.
- What is Data Science?
- Mathematical Preliminaries
- Data Munging
- Scores and Rankings
- Statistical Analysis
- Visualizing Data
- Mathematical Models
- Linear Algebra
- Linear and Logistic Regression
- Distance and Network Methods
- Machine Learning
- Big Data Achieving Scale
Getting Started
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