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FeaturedIndustryResourcesStartups

Lack of women in leadership roles is a global phenomenon, and particularly in areas like STEM. Here is a snapshot on the global scenario and qualities that make women phenomenal leaders.   “Wait, gender inequality is still around?” Believe it or not, this is the question I received from my

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Data NativesFeaturedResourcesStartupsStartups

Artificial intelligence, machine learning, big data, financial technology, and various connected devices are evolving the data-tech game on a day-to-day basis. Data enthusiasts are integrating into local communities on a world-wide scale to discuss and keep up with the fast pace of data-driven technologies. Here are four tips on how

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ResourcesTechnology & IT

Are you struggling to keep up with the increasing volume of support tickets clogging mailboxes and ticketing tools? Do you find yourself juggling with truckloads of manuals, flowcharts and other documentation at your organization? Don’t worry, you are not alone. Most organizations give utmost importance to streamlining their customer support

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ResourcesTechnology & IT

Whether you’re already working in IT management or still on your way up, you should be sure of one thing: that you’re as comfortable working with people as you are working with tech. As a leader in IT, you’re responsible for much more than technology. You’ll likely spend as much –

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Big DataResources

Are you one of those project management professionals inclined to handle big data proposals? Having a strong project management background would add excellent support to your aspirations. However, for setting up a big data project team, you don’t just need good project management skills. You also need to supersize the

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Data ScienceResources

It seems everyone and their grandmother wants to work in data science these days, and there are plenty of good reasons why that’s the case. First, the salaries are attractive: recent data from O’Reilly indicates the average compensation of a data scientist in the United States is $112,000 per year

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Big DataResources

Despite big data currently ranking among top business intelligence and data analytics trends, businesses continue to suffer from a lack of data-savvy talent. Research from BARC shows half of respondents reporting a lack of analytical or technical know-how for big data analytics. This is good news for tech beginners, however,

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Data ScienceResources

If you ask a data scientist how to start or advance your data career, one of the first things they might tell you is to read. Not the answer you’d expect? You’d be surprised! The rapidly evolving nature of data science calls for professionals to keep a close eye on

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FeaturedMachine LearningResources

Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses. Yes, it’s true – enterprises worldwide have

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Nonlinear Regression
Data ScienceData Science 101Resources

Linear regression is a basic tool. It works on the assumption that there exists a linear relationship between the dependent and independent variable, also known as the explanatory variables and output. However, not all problems have such a linear relationship. In fact, many of the problems we see today are

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