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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Interview with the Head of the NSA’s Research Directorate

Schneier on Security

The field of data science aims to solve them. ” Making sense of vast stores of unclear, often stolen data in hundreds of languages and even more technical formats remains one of the directorate’s enduring tasks.

Big data 110
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How Are Computers Compromised (2020 Edition)

Adam Shostack

Understanding the way intrusions really happen is a long-standing interest of mine. The US Government has some interesting advantages: a large collection of attractive targets, a mandate that all CFO agencies have a security process, published investments in security, a large and skilled incident response force.

Mining 49
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How to Take Your Business to The Next Level with Data Intelligence

erwin

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103
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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle. Figure 4: Optimizing the Customer Lifecycle. Follow the Customer Summary.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Organizations use DRM technologies and solutions to securely manage intellectual property (IP) rights and monetize the content. DRM helps ensure the secure and trusted exchange of content between a seller and a buyer and ensures that only the buyer is granted the privileges allowed by the seller. Digital Rights Management (DRM).

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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle. Figure 4: Optimizing the Customer Lifecycle. Follow the Customer Summary.