Significantly every industry is finding a way to benefit from AI-driven analytics. While great strides have been made in the adoption of real-time analytics in the marketplace, artificial intelligence could ramp this up. We have analyzed along the way with analytics in recent years, in which data is applied against algorithms or analytics engines to determine what it may mean to the business.Source: HOB
Machine learning is having a huge impact in almost all the industries. From Google brain to self-driving cars all are made using a machine learning algorithm. It is currently growing and expanding rapidly and more and more people are learning it.Source: HOB
Machine Learning and Big Data are the two popular terminologies and both are revolutionizing business operations and regularly providing lots of new opportunities. Machine Learning is presently more subject to practical, large-scale applications than it has ever been in past. Big data on the other hand, became a thing in 2013, after it was observed that 90 percent of the world's data was generated in past years.Source: HOB
As cyber threats continue to evolve, data Science and machine learning are increasingly necessary for a strong cyber security strategy. Data science is the field which includes processes and systems to extract knowledge and insights from data in various forms, which is a continuation of data analysis fields as statistics, data mining, and predictive analysis.Source: HOB
Now have you ever come across the term data mining? As the name implies, it is an analytic process used to explore a large amount of data in regards to consistent patterns and systematic relationships between variables. Businesses prefer data mining because it aims to predict. Predictive analyses, on the other hand, refine data resources, in particular, to extract hidden value from those newly discovered patterns. ├?┬ó??Data mining + Domain knowledge =>Predictive Analytics =>Business Value├?┬ó??Source: HOB
Data mining is the method of sorting through massive information sets to spot patterns and establish relationships to unravel issues through information analysis.Source: HOB
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