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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Attacks against machine learning — an overview

Elie

which involve feeding training adversarial data to the classifier. The most common attack type we observe is model skewing, where the attacker attempts to pollute training data in such a way that the boundary between what the classifier categorizes as good data, and what the classifier categorizes as bad, shifts in his favor.

Mining 107
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article thumbnail

Attacks against machine learning — an overview

Elie

which involve feeding training adversarial data to the classifier. The most common attack type we observe is model skewing, where the attacker attempts to pollute training data in such a way that the boundary between what the classifier categorizes as good data, and what the classifier categorizes as bad, shifts in his favor.

Mining 91
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. For example, is the problem related to declining revenue or production bottlenecks? as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

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MY TAKE: Why Satya Nadella is wise to align with privacy advocates on regulating facial recognition

The Last Watchdog

Here’s how Jay Stanley, senior policy analyst for the American Civil Liberties Union , described it for me: “Right now everybody knows that when you walk down the street you’re recorded by a lot of video cameras, and that the video will just sit on some hard drive somewhere and nothing really happens to it unless something dramatic goes down.

Privacy 109
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Leaders need the technical detail

MIKE 2.0

If the thing a business does well, such as issue credit cards, sell books or make trains is challenged by a new technology then it can bring the whole enterprise down. For example, quantum computing is driving research that could yield interesting materials and sensors long before viable computing devices are even close to commercialisation.

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

ARMA International

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” So, at the outset, a good question to ask is What is DT ? Content can be delivered via a CSP.