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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 a Crypto Scam Investment Spammer

Krebs on Security

This email address is also connected to accounts on several Russian cybercrime forums, including “ __edman__ ,” who had a history of selling “logs” — large amounts of data stolen from many bot-infected computers — as well as giving away access to hacked Internet of Things (IoT) devices.

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GUEST ESSAY: The story behind how DataTribe is helping to seed ‘Cybersecurity Valley’ in Maryland

The Last Watchdog

GCIS was a Davos-level conference with no vendors and no selling, where scores of chief security information officers (CISOs), top CEO’s, industry and government thought leaders and leading innovators discussed the myriad challenges in and around cybersecurity and possible solutions in today’s environment.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Organizations can fine-tune these models with specific data, nudging them towards outputs tailored to particular business needs. User-friendly interfaces and integration tools make them accessible even for non-technical folks. Teamwork: Assemble a team with expertise in AI, data science and your industry.

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10 everyday machine learning use cases

IBM Big Data Hub

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

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How to build a successful AI strategy

IBM Big Data Hub

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development.

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

ARMA International

The memex was a hypothetical information-centric hypertext device that would permit people to access any information, regardless of where it was stored. This implies a cloud computing model that ARMA defines as “A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g.,