Introduction to Data Science A Python Approach to Concepts, Techniques and Applications /

• Main Authors: Igual, Laura (Author), Seguí, Santi (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Undergraduate Topics in Computer Science,
• Subjects: Computer science.; Mathematical statistics.; Data mining.; Artificial intelligence.; Pattern recognition.; Statistics.; Computer Science.; Data Mining and Knowledge Discovery.; Probability and Statistics in Computer Science.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Statistics and Computing/Statistics Programs.

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 programmin...

Table of Contents:

• Introduction to Data Science
• Toolboxes for Data Scientists
• Descriptive statistics
• Statistical Inference
• Supervised Learning
• Regression Analysis
• Unsupervised Learning
• Network Analysis
• Recommender Systems
• Statistical Natural Language Processing for Sentiment Analysis
• Parallel Computing.