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follwing blog posts and add it to your knowledge.
Data, is ever growing. With technological advancements, like IOT - a basic item which we’re continuously accumulating, and increasing the bytes - is data. It’s probably much more than you realize. It’s not just the data in your laptop, tab, phone or smart watch. It’s even in stores you visit, e.g. Walmart - where automated systems could be monitoring your purchase history, behavior and working to ...
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An extreme arm of analytics is “predictive analytics” It’s core lies in data mining - which is nothing but a process used to extract usable data from a larger set of any raw data.This technique is heavily used in thousands of tools available today in digital marketing landscape. You have experienced automatic predictions yourself in Flipkart - the way more similar products are shown to you marked ...
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Today, there're dozens of data science techniques which we can apply to different solution formats. A business would typically use dashboards for CXO board members for sharing metrics like pipeline, revenue, profits and costs. On a separate note, if you're working to define a use flow on website, you may want to use a decision trees. There's 20+ key data science methods used at work as of today, a ...
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Brief - there’s a new law which is around the corner, and would be applied to businesses which collect and process European citizen’s data - GDPR. The industry is a bit shaken at the moment, while even without that law, Mark Zuckerberg had to face a hearing with senator recently. Beyond that, there’s more happening in near future.
This law affects Data Science, since it lays down new rules and re ...
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21st Century is fast evolving. There’s no more limited set of opportunities - the bargaining power of skilled labour has increased. Hotel bookings, now don’t cost that much. Taxis have reduced the prices. The unions of insecure businesses is at risk. It’s the age of disruption. We now have more respect towards people who are not just hard working, but smart as well. We have reached a point where s ...
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