| Description |
1 online resource. |
|
text file |
| Series |
Open textbook library.
|
| Contents |
1 Introduction -- 2 A trip to Jupyter -- 3 Three kinds of atomic data -- 4 Memory pictures -- 5 Calculations -- 6 Scales of measure -- 7 Three kinds of aggregate data -- 8 Arrays in Python (1 of 2) -- 9 Arrays in Python (2 of 2) -- 10 Interpreting Data -- 11 Assoc. arrays in Python (1 of 3) -- 12 Assoc. arrays in Python (2 of 3) -- 13 Assoc. arrays in Python (3 of 3) -- 14 Loops -- 15 EDA: univariate -- 16 Tables in Python (1 of 3) -- 17 Tables in Python (2 of 3) -- 18 Tables in Python (3 of 3) -- 19 EDA: bivariate (1 of 2) -- 20 EDA: bivariate (2 of 2) -- 21 Branching -- 22 Functions (1 of 2) -- 23 Functions (2 of 2) -- 24 Recoding and transforming -- 25 Machine Learning: concepts -- 26 Classification: concepts -- 27 Decision trees (1 of 2) -- 28 Decision trees (2 of 2) -- 29 Evaluating a classifier |
| Summary |
A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background. |
| Note |
Attribution-ShareAlike |
| Local Note |
Open Educational Resources (OER). Open Textbooks |
|
Open Textbook Library |
| Language |
In English. |
| Subject |
Computer science -- Textbooks.
|
|
Computer science. |
| Genre/Form |
Textbooks.
|
| Subject |
Artificial intelligence -- Textbooks.
|
|
Artificial intelligence. |
|
Information technology -- Textbooks.
|
|
Information technology. |
|
Databases -- Textbooks.
|
|
Databases. |
|
Programming languages (Electronic computers) -- Textbooks.
|
|
Programming languages (Electronic computers) |
| Genre/Form |
Textbooks.
|
| Added Author |
Davies, Stephen, author.
|
| ISBN |
9781715320041 |
|
1715320042 |
|
