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The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machinelearning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.”
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The book Graph Algorithms: Practical Examples in Apache Spark and Neo4j is aimed at broadening our knowledge and capabilities around these types of graph analyses, including algorithms, concepts, and practical machinelearning applications of the algorithms. Your team will become graph heroes.
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AI skills more valuable than certifications There were a couple of stand-outs among those. AI skills more valuable than certifications There were a couple of stand-outs among those. The premium it attracts rose by more than 10%, making it the fastest-rising AI-related certification.
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While data science and machinelearning are related, they are very different fields. In a nutshell, data science brings structure to big data while machinelearning focuses on learning from the data itself. What is machinelearning? This post will dive deeper into the nuances of each field.
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Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machinelearning. Now, we will take a deeper look into AI, Machinelearning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.
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