December 2018
Beginner to intermediate
490 pages
10h 38m
English
There are multiple factors involved in the meteoric rise of data science.
First, the amount of data being collected keeps growing at an exponential rate. According to recent market research from the IBM Marketing Cloud (https://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=WRL12345GBEN) something like 2.5 quintillion bytes are created every day (to give you an idea of how big that is, that's 2.5 billion of billion bytes), but yet only a tiny fraction of this data is ever analyzed, leaving tons of missed opportunities on the table.
Second, we're in the midst of a cognitive revolution that started a few years ago; almost every industry is jumping on the AI bandwagon, which includes natural language processing ...
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