Our Favorite Remote Workspaces and Why They’re Effective

“The future of work is being able to work in your pajamas,” HubSpot’s CTO, Dharmesh Shah, said in his 2019 INBOUND keynote.
Shah noted how flexibility is the goal and remote work is a function. And, although productivity is one of the main concerns employers have when introducing remote work, it has actually been reported to increase employees’ productivity.

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Facebook takes down fake accounts with fake faces pushing politics

By Donie O’Sullivan | CNN
Artificially-generated faces of people who don’t exist are being used to front fake Facebook accounts in an attempt to trick users and game the company’s systems, the social media network said Friday. Experts who reviewed the accounts say it is the first time they have seen fake images like this being used at scale as part of a single social media campaign.

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How to Effectively Employ an AI Strategy in your Business

Artificial Intelligence has evolved from being a buzz word to a reality today. Companies with expertise in machine learning systems are looking to graduate to Artificial Intelligence-based technologies. The enterprises that do not yet have a machine learning culture are trying to devise a strategy to put one in place.

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SproutLoud Named Best Marketing Platform by Street Fight

“Being Recognized as an Industry-Leading Innovator by Street Fight, for the Second Year in a Row, Validates the Tremendous Amount of Investment, Resources and Commitment That We Dedicate to Helping Brands and Their Channel Partners or Locations Compete and Win in Local Markets.

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Python as a tool benefiting data scientists in many ways

Being extremely versatile general purpose, professional programming language, Python offers plenty of applications. Python language is user-friendly and simple to grasp and this made it popular throughout the world. Python plays a critical role for data scientists to find out lucrative job opportunities. 
Today, Python has become the most in-demand programming language in the data science world.

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Crawling the internet: data science within a large engineering system

by BILL RICHOUXCritical decisions are being made continuously within large software systems. Often such decisions are the responsibility of a separate machine learning (ML) system. But there are instances when having a separate ML system is not ideal. In this blog post we describe one of these instances — Google search deciding when to check if web pages have changed.

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On the Equifax breach and how to really prevent identity theft

A funny thing about being a foreigner is how you realize people take broken things for granted. I’m going to go out on a limb here claiming that the US has a pretty dumb banking system. I could talk about it all day, but right now I want to focus on a very particular piece of it: how to verify your identity online.

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Once Again: Prefer Confidence Intervals to Point Estimates

Today I saw a claim being made on Twitter that 17% of Jill Stein supporters in Louisiana are also David Duke supporters. For anyone familiar with US politics, this claim is a priori implausible, although certainly not impossible.
Given how non-credible this claim struck me as being, I decided to look into the origin of this number of 17%.

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Making Your Data Science Skills Marketable

As automated systems replace traditional business processes, a huge amount of data is being generated. Companies all around the world, from publishing houses to health care, are trying to unlock the value of data. Consequently, data science is becoming one of the most sought-after fields for young professionals all over the world.Recently, Data Science Dojo hosted a data science interview AMA.

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How mature is your advanced analytics program?

Advanced analytics is being deployed in a range of use cases across business units and industries, especially as data types and volume increase. One of the top use cases for advanced analytics we see at TDWI is predictive analytics to understand customer or operational behavior. Statistical as well as machine learning models are used to find patterns in this data.

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Omni-channel Retail Paradox: the Curse of Digital

Everyone knows that the retail industry is being transformed by digital, analytics and big data. Winning requires continual data-driven experimentation and transformation.   Shortened time from idea-to-app is a constant challenge. Evidence of this “digital disruption” by category are mounting every day.

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