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doi: 10.3934/bdia.2018001
Understanding AI in a world of big data
Environics Analytics, 33 Bloor St. East, Toronto, Ont. M4W3H1, Canada |
Big Data and AI are now very popular concepts within the public lexicon. Yet, much confusion exists as to what these concepts actually mean and more importantly why they are significant forces within the world today. New tools and technologies now allow better access as well as facilitating the analysis of this data for better decision-making. But the discipline of data science with its four-step process in conducting any analysis is the key towards success in both non-advanced and advanced analytics which would, of course, include the use of AI. This paper attempts to demystify these concepts from a data science perspective. In attempting to understand Big Data and AI, we look at the history of data science and how these more recent concepts have helped to optimize solutions within this 4 step process.
Mathematics Subject Classification:
91C20, 62F07.
Citation:
Richard Boire.
Understanding AI in a world of big data. Big Data & Information Analytics, doi: 10.3934/bdia.2018001
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Figure 4.
Example of Structured Data
Figure 5.
Example of Twitter Data
Figure 6.
Sequential vs. Parallel Data Processing
Figure 7.
Schematic of Simple Neural Net-One Hidden layer
Figure 10.
Examples of Neural Nets
Figure 11.
Sample of 3 records
Figure 12.
Sample of 3 records-Fixed
Figure 13.
Frequency Distribution of Numeric Variable
Figure 14.
Frequency Distribution of Character Variable
Figure 15.
Example of Data Diagnostics
Figure 16.
Example of Alteryx Software
Figure 17.
Example of Gains/Decile Table
Figure 18.
Example of Final Model Variable Contribution Report
Figure 19.
Example of Final Model Variable Contribution Report
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