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What is Automated Machine Learning (AutoML)?

Click to learn more about author Kartik Patel. What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals. With the right tools, today’s average business user […]

Data Modeling Trends in 2019

IT technologies are rapidly changing our lives. Whether it’s your daily grocery purchase, monthly bill payments, booking railway tickets, or receiving online healthcare consultation, data technologies have penetrated every business model, large, medium, or small. Recent cloud platforms, coupled with Big Data and IoT technologies, have ushered in a new era of “smart technologies” powered […]

Data Scientist vs. Data Engineer

The Background of Data Science Roles It was thought that the year 2018 would create a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert Data Scientists. However, the recent buzz from Gartner, which says more than 40 percent of Data Science tasks […]

Data Science Trends in 2019

When it comes to major Data Science trends to watch in 2019, the co-founder and CEO of Kaggle, Anthony Goldbloom, has predicted that very soon Data Centers will be replaced by departmental or business-specific Data Science teams. As discussed in Data Science Trends in 2018, last year’s major trends continued from 2017 as the growth […]

Ten Myths About Data Science

Click to learn more about author Daniel Jebaraj. Introduction Data Science is now being used as a competitive weapon. As with other technologies and processes that can transform the way companies operate, there’s a lot of contradictory information about it that’s causing considerable confusion. Most of today’s business leaders have heard that Data Science can […]

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