Description
| Product ID: | 9783319500164 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | CH |
| Series: | Undergraduate Topics in Computer Science |
| Title: | Introduction to Data Science |
| Subtitle: | A Python Approach to Concepts, Techniques and Applications |
| Authors: | Author: Laura Igual, Santi Segui |
| Page Count: | 218 |
| Subjects: | Mathematical and statistical software, Mathematical & statistical software, Data mining, Maths for computer scientists, Pattern recognition, Data mining, Maths for computer scientists, Pattern recognition |
| Description: | The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website. |
| Imprint Name: | Springer International Publishing AG |
| Publisher Name: | Springer International Publishing AG |
| Country of Publication: | GB |
| Publishing Date: | 2017-03-02 |
