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12 Jobs That Are Booming in the Age of Big Data

Smart Data Collective

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? This is especially true as more marketing strategies focus on highly targeted and personalized marketing, which requires detailed customer data. Current statistics suggest an increase in demand for technical specialists in the IT-sphere.

Big Data 126
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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. The instances of data breaches in the United States are rather interesting. By 2012, there was a marginal increase, then the numbers rose steeply in 2014. Employee training.

Testing 122
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Five Sweet Web Analytics Resolutions To Kick It Up A Notch

Occam's Razor

Change is hard, even if we know that we should be executing a multiplicity strategy to win in the web analytics 2.0 Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: 2 Learn basic statistics.

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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

Brand strength is not built by playing a "let's bid on just our brand terms" strategy, but by complementing that strategy with a super-smart organic and paid "let's capture all our brand and category terms" strategy. Brand strength is built over time using online and offline advertising.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

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Estimating the prevalence of rare events — theory and practice

The Unofficial Google Data Science Blog

But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. There are many strategies we can use to estimate this quantity, and we will discuss each option in detail. Statistical Science.

Metrics 98
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Proposals for model vulnerability and security

O'Reilly on Data

They could also share their strategy with others, potentially leading to large losses for your company. Model documentation and explanation techniques : Model documentation is a risk-mitigation strategy that has been used for decades in banking. 2010): 121-148. If you are using a two-stage model, be aware of an “allergy” attack.

Modeling 221