Download Mathematical Foundations of Big Data Analytics PDF Free - Full Version
Download Mathematical Foundations of Big Data Analytics by Vladimir Shikhman in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Mathematical Foundations of Big Data Analytics
In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. – mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a wide range of mathematics – from basic disciplines of numerical linear algebra, statistics and optimization to more specialized game, graph and even complexity theories. By doing so, we cover all relevant techniques commonly used in Big Data Analytics.Each chapter starts with a concrete practical problem whose primary aim is to motivate the study of a particular Big Data Analytics technique. Next, mathematical results follow – including important definitions, auxiliary statements and conclusions arising. Case-studies help to deepen the acquired knowledge by applying it in an interdisciplinary context. Exercises serve to improve understanding of the underlying theory. Complete solutions for exercises can be consulted by the interested reader at the end of the textbook; for some which have to be solved numerically, we provide descriptions of algorithms in Python code as supplementary material.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
Detailed Information
| Author: | Vladimir Shikhman |
|---|---|
| Publication Year: | 2021 |
| ISBN: | 9783662625200 |
| Pages: | 274 |
| Language: | English |
| File Size: | 1.5 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Mathematical Foundations of Big Data Analytics Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Mathematical Foundations of Big Data Analytics PDF?
Yes, on https://PDFdrive.to you can download Mathematical Foundations of Big Data Analytics by Vladimir Shikhman completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Mathematical Foundations of Big Data Analytics on my mobile device?
After downloading Mathematical Foundations of Big Data Analytics PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Mathematical Foundations of Big Data Analytics?
Yes, this is the complete PDF version of Mathematical Foundations of Big Data Analytics by Vladimir Shikhman. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Mathematical Foundations of Big Data Analytics PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
