Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Machine Learning
Data ScienceMachine Learning

In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs. Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn’t stop at any given point; it keeps

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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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BI & AnalyticsBig DataData Science

Big data and sports analytics are changing the ways many things in sports have traditionally been done. They are allowing for new processes that have the potential to alter the way that organizations conduct their scouting. This is because data science and sports analytics are opening up new data points

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Data Science

One of the great things about running a startup is that you’re working with a clean slate. If you have worked with a different organization before, you may have had issues with culture and people that you probably don’t want happening with your own company. Existing organizations, especially the established

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Big Data Analysis
Big DataData ScienceResources

Introduction A couple of months ago a client of mine asked me the following question: “What is the faster data structure object in Python for Big Data analysis today?” I get questions like this one all the time. Some of them are not easy to solve at all and it

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Data ScienceEvents

Every year, data science experts, practitioners, and enthusiasts are known to flock to a variety of exciting and informative conferences around the world.  At these conferences, experts and luminaries in the field of data science will congregate to share experiences and ideas and inspire their colleagues in the industry. There

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Big DataData Science

Selecting a database technology to build your new application on is often a complex and even stressful process. While the business use case for the application is pretty straightforward, the nuances of the data platform that will power it are often much less clear, with the decision on what technology

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Big DataData Science

Agility and reactivity. These are two words more likely now than ever to feature in a corporate strategy session. Today’s business landscape is, after all, highly dynamic: increasing competition, margin pressures and the threat of disruptive innovation all conspire to erode the market shares of the complacent. The public sector

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Data Science

The advent of a sharing economy has brought a sea of change to the way we commute in the city. The Lyfts of the world have made taxi riding convenient, affordable and safe. These rides have emerged as a strong alternative to public transport, clocking millions of rides per month

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Golden State Warriors
Big DataData Science

The Golden State Warriors are on top of the NBA after winning their second championship in three years. They have been in the finals for three consecutive years, set the regular season wins record at 72 wins in the 2015-16 season, and came one game away from going undefeated through

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