Applied Data Science Book [PDF] Download

Download the fantastic book titled Applied Data Science written by Martin Braschler, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Applied Data Science", which was released on 13 June 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Applied Data Science by Martin Braschler PDF

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.


Detail About Applied Data Science PDF

  • Author : Martin Braschler
  • Publisher : Springer
  • Genre : Computers
  • Total Pages : 465 pages
  • ISBN : 3030118215
  • PDF File Size : 46,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Applied Data Science

Applied Data Science
  • Publisher : Springer
  • File Size : 38,8 Mb
  • Release Date : 13 June 2019
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This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons

Applied Data Science in Tourism

Applied Data Science in Tourism
  • Publisher : Springer Nature
  • File Size : 31,5 Mb
  • Release Date : 31 January 2022
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Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same

Product Analytics

Product Analytics
  • Publisher : Addison-Wesley Professional
  • File Size : 25,6 Mb
  • Release Date : 27 August 2020
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Use Product Analytics to Understand Consumer Behavior and Change It at Scale Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist

Applied Data Science with Python and Jupyter

Applied Data Science with Python and Jupyter
  • Publisher : Packt Publishing Ltd
  • File Size : 25,7 Mb
  • Release Date : 31 October 2018
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Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications. Key FeaturesGet up and running with the Jupyter ecosystem and

Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis
  • Publisher : Elsevier
  • File Size : 51,7 Mb
  • Release Date : 11 May 2021
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Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts

Generative Deep Learning

Generative Deep Learning
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 37,9 Mb
  • Release Date : 28 June 2019
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Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music.

Applying Data Science

Applying Data Science
  • Publisher : SAS Institute
  • File Size : 21,5 Mb
  • Release Date : 29 March 2017
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See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to

Applied Data Mining

Applied Data Mining
  • Publisher : John Wiley & Sons
  • File Size : 37,7 Mb
  • Release Date : 27 September 2005
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Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society