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What is data mining? Explained: How analytics uncovers insights

@machinelearnbot

Organizations today are gathering ever-growing volumes of information from all kinds of sources, including websites, enterprise applications, social media, mobile devices, and increasingly the internet of things (IoT). The big question is: How can you derive real business value from this information? That's where data mining can contribute in a big way. Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships, to solve business problems or generate new opportunities through the analysis of the data. It's not just a matter of looking at data to see what has happened in the past to be able to act intelligently in the present.


How Data Mining Will Transform The Digital Marketing Trends & Why?

#artificialintelligence

In this era of technological advancements, the success of every business, organization or startup prominently lies with its capability to search through and process data effectively. Significantly, in business terminologies, it is mostly perceived that the said task is quite prominent and caters the needs of business firms to promote versatility and significance via amalgamation with new and cutting-edge technologies such as Artificial Intelligence, Machine Learning, Image Processing and Data Mining. Synonymously, Data Mining is an important aspect meant to provide relevant information that empowers you to understand the future trends, and should also be a key element to drive your business to the next level. Since digital marketing trends are flourishing and could hardly work without providing the essential data which further transforms into information which is further transited in the form of knowledge. Moreover, this allows for devising new capabilities and applications of sales strategy, thus it shows how data mining performs its functionalities.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.


Data Mining vs. Machine Learning: What's The Difference? - Import.io

@machinelearnbot

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.