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How can you make sure you’re building your machine learning infrastructure the right way? You’d be surprised to learn that you don’t need to have a full data science staff at hand. Machine learning has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. However, it

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Data ScienceFeaturedMarketing & Sales

The ecommerce industry has greatly benefited from the explosion of customer-centric data analytics. Industry leaders have been able to leverage it to great effect, fueling their various marketing, advertising and website content personalization efforts, yielding game-changing sales conversion lift. Contemporary online shopping companies have even been rampantly gathering, tracking, and even buying

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Data ScienceEducationFeatured

Whether you are experienced or thinking about getting your hands on Apache Spark, this Apache Spark tutorial will guide you through: downloading and running Spark launching Spark’s consoles Spark’s basic architecture Spark’s language APIs DataFrames and SQL Spark’s Toolset What is Apache Spark? Apache Spark is a unified computing engine

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Artificial IntelligenceBI & AnalyticsContributorsData ScienceFeatured

As the world contends with the Covid-19 pandemic and its profound impact across regions and industries, companies are not only looking for ways to safeguard their people and customers but also their business’ long-term future – read how data & analytics can help your business deal with the crisis.  The

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Artificial IntelligenceData ScienceFeaturedIndustryTechnology & IT

Many e-commerce companies are looking to leverage artificial intelligence (AI) to reach more customers, improve their products and boost their sales. The trend can already be seen in e-commerce websites that feature recommendation engines, chatbots and smart assistants. These types of AI technology adoptions are likely to continue. According to Gartner, 37% of

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Artificial IntelligenceBI & AnalyticsBig DataData ScienceEducationFeatured

Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only one place to look: DATA. This guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to

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AI making BI Obsolete

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