How to Gain Visibility When You Work Remotely, According to HubSpot Employees

When you land your first full-time remote job, you might be excited about the role’s flexibility, ability to work from home, and how it enables you to hold a position at a great company even when you aren’t close to its headquarters.
However, remote work comes with its own challenges. As a career-minded professional, you might also have fears related to being isolated or unseen.

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How HubSpot Marketers Stay Creative Under Pressure

As 2020 begins, you might be under pressure to build strategies, create campaigns, and pitch new ideas quickly to start your first quarter off right.
The pressure to create can cause both stress or fears of failure which are scientifically proven creativity barriers. Not only can they stand in the way of your motivation, but they could also prevent you from coming up with new or unique ideas.

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11 Tips for Improving Customer Experience and Driving Conversions

Struggling to drive conversions?  The issue might be with customer experience. After having worked with several brands, big and small, I can assure you that you don’t have to make sweeping changes to drive better results. Many times even small changes and little bit process can lead to happy customers and big impacts. In this post I have complied 11 tips that you can use today.

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The theoryCS aggregator

As you all might now, the cstheory blog aggregator is currently down. Many people have been wondering what’s going on and when it will be back up so here’s a short summary.The aggregator has been thus far maintained by Arvind Narayanan who deserves a HUGE thanks for setting up the aggregator, lots of custom code and the linked twitter account.

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Algorithmic Dimensions

There are many dimensions on which we might compare a machine learning or data mining algorithm. A few of the first that come to mind are:
1) Sample complexity, convergence
How much predictive power is the algorithm able to extract from a given number of examples?
All else being equal, if algorithm A with N examples behaves the same as algorithm B with 2N examples, we would prefer algorithm A.

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Speaker: Critical Utopias – Cultural Discourse in the Digital Age

Artificial intelligence might replace taxi-drivers in the future, but how will the future of cultural journalists look like in light of future technological revolutions?
The Finnish Cultural Institute for the Benelux invited me to give a talk in the design musem in Helsinki on the topic of a future of art and art critics, in an age of rapid evolution of technology.

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Bitcoin and Taxes: What You May Not Know

You might be aware that your Bitcoin or other cryptocurrency transactions have a possible taxable impact. However, you might not know exactly how to report them. Read on for more guidance on cryptocurrency taxes.
What is Bitcoin?
Bitcoin is a worldwide payment system where users buy virtual currency using an exchange. Bitcoin is stored in a digital wallet and can be transferred using a mobile app.

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Downloading a folder from Github

There are occasions where we might want to download only a folder from someone’s Github repository instead of the entire repository (at least for me, yes). After doing some Googling, I finally managed to find the way to do it. This is for Windows.Outlining the steps involved as follows (using the ‘notebooks’ folder from my repository as an example):1) Go to http://subversion.

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Computing PCA with SVD

PCA is a great tool for performing dimensionality reduction. Two reason you might want to use SVD to compute PCA:
SVD is more numerically stable if the columns are close to collinear. I have seen this happen in text data, when certain terms almost always appear together.
Spark’s PCA implementation currently doesn’t support very wide matrices. The SVD implementation does however.

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3 Reasons Counting is the Hardest Thing in Data Science

Counting is hard. You might be surprised to hear me say that, but it’s true. As a data scientist, I’ve done it all – everything from simple regression analysis all the way to coding Hadoop MapReduce jobs that process hundreds of billions of data points each month. And, with all that experience, I’ve found that counting often involves far more time and effort.

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Quick links

Some of the tech news I found interesting lately, and you might too: Jeff Bezos: “Many decisions are reversible, two-way doors. Those decisions can use a light-weight process. For those, so what if you’re wrong? …. If you’re good at course correcting, being wrong may be less costly than you think, whereas being slow is going to be expensive for sure.

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Comment on Wise Practitioner – Predictive Workforce Analytics Interview Series: Pasha Roberts at Talent Analytics, Corp. by Brian Davis

You asked about might be done if HR was 100% ready to embrace data science solutions, but I think it is equally important to consider employees’ acceptance. There obviously might be concern if a computer is given control over your possible termination (or at least the perception of that having happened).

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