Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition

by Alberto Boschetti, Luca Massaron

Overview

Der Autor ist Professor für deutsche Sprachwissenschaft und Deutsch als Fremdsprache an der Universityät Bamberg.

The author is Professor of German Linguistics and German as a Foreign Language at the University of Bamberg.

Product Details

ISBN-13:	9781789531893
Publisher:	Packt Publishing
Publication date:	09/28/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	472
File size:	6 MB

About the Author

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events. Luca Massaron is a data scientist and marketing research director specialized in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience of solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top-10 Kaggler, he has always been very passionate about every aspect of data and its analysis, and also about demonstrating the potential of data-driven knowledge discovery to both experts and non-experts. Favoring simplicity over unnecessary sophistication, Luca believes that a lot can be achieved in data science just by doing the essentials.

Table of Contents

Table of Contents

1. First Steps
2. Data Munging
3. The Data Pipeline
4. Machine Learning
5. Visualization, Insights, and Results
6. Social Network Analysis
7. Deep Learning Beyond the Basics
8. Spark for Big Data
9. Appendix A: Strengthen Your Python Foundations