Applied Data Analytics - Principles and Applications.
This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and vis...
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Place / Publishing House: | Aalborg : : River Publishers,, 2019. Ã2019. |
Year of Publication: | 2019 |
Edition: | 1st ed. |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (370 pages) |
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100 | 1 | |a Agbinya, Johnson I. | |
245 | 1 | 0 | |a Applied Data Analytics - Principles and Applications. |
250 | |a 1st ed. | ||
264 | 1 | |a Aalborg : |b River Publishers, |c 2019. | |
264 | 4 | |c Ã2019. | |
300 | |a 1 online resource (370 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
520 | |a This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualization systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial approach and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts. | ||
588 | |a Description based on publisher supplied metadata and other sources. | ||
590 | |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
655 | 4 | |a Electronic books. | |
776 | 0 | 8 | |i Print version: |a Agbinya, Johnson I. |t Applied Data Analytics - Principles and Applications |d Aalborg : River Publishers,c2019 |
797 | 2 | |a ProQuest (Firm) | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=30251860 |z Click to View |