Crystal Ball Instruction Manual Volume One: Introduction to Data Science

Format:

Book

Author/Creator:

Davies, Stephen, author.

Language:

English

Subjects (All):

Computer science--Textbooks.

Computer science.

Artificial intelligence--Textbooks.

Artificial intelligence.

Information technology--Textbooks.

Information technology.

Databases--Textbooks.

Databases.

Programming Languages--Textbooks.

Programming Languages.

Physical Description:

1 online resource

Edition:

version 1.1

Place of Publication:

[Place of publication not identified] University of Mary Washington [2020]

Language Note:

In English.

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.

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

Notes:

Description based on print resource