10 Logo Design Trends to Watch for in 2020 [Infographic]

We demand a lot from logos.
They have to be simple, yet still convey the ethos of the brand in a way that resonates with consumers. They have to be timeless and distinct, but still modern and consistent with contemporary graphic design trends.
It’s a lot to ask of a single symbol. As any designer will surely tell you, designing a logo that meets these varied expectations is no easy task.

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Really Simple Systems Named Finalist in 2019-20 Cloud Awards

Leading cloud CRM vendor, Really Simple Systems has been declared a finalist in the international Cloud Computing Awards program, The Cloud Awards.
Categories for the 2019-20 Cloud Awards include “Security Innovation of the Year,” “Best Software as a Service,” and “Best Cloud Automation Solution.

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MarTech Interview with Josko Grljevic, Chief Transformation Officer at Talon Outdoor

“Making interactions with technology intuitive and simple is absolutely essential to driving user adoption”
You have a long track-record of successfully working in and managing diverse business teams. How did you arrive at Talon and what attracted you to the OOH Advertising ecosystem?
The Out of Home (OOH) market is at a very exciting juncture.

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Five tips to improve your R code

@drsimonj here with five simple tricks I find myself sharing all the time with fellow R users to improve their code!
This post was originally published on DataCamp’s community as one of their top 10 articles in 2017
1. More fun to sequence from 1 #
Next time you use the colon operator to create a sequence from 1 like 1:n, try seq().

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Distributed synchronization with the distributed star

Here’s a simple synchronization paradigm between many computers that scales with the number of machines involved and which essentially keeps cost at (O(1)) per machine. For lack of a better name I’m going to call it the distributed star since this is what the communication looks like. It’s quite similar to how memcached stores its (key,value) pairs.

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7 Simple Tricks to Handle Complex Machine Learning Issues

We propose simple solutions to important problems that all data scientists face almost every day. In short, a toolbox for the handyman, useful to busy professionals in any field.
1. Eliminating sample size effects. Many statistics, such as correlations or R-squared, depend on the sample size, making it difficult to compare values computed on two data sets of different sizes.

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Omakase 2: Suwapond

With this month’s Omakase game, I wanted to take a super simple game idea, and working on polishing the feel of the core mechanic — not necessarily the mechanic itself, but how satisfying it is to the player.
I was also traveling for a good half of the month, so I put a few constraints on myself to not go overboard:
I will write the movement mechanics from scratch.

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Implement Simple Convolution with Java

In this post we are going to walk through the details and intuition behind simple convolution operation as one one of the most fundamental concept in Computer Vision. Additionally we will build a Java Application GUI which uses different convolution filters(implemented purely in java) to transform images of your choice.

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Recurrent Neural Networks for Churn Prediction

I just posted a simple implementation of WTTE-RNNs in Keras on GitHub: Keras Weibull Time-to-event Recurrent Neural Networks. I’ll let you read up on the details in the linked information, but suffice it to say that this is a specific type of neural net that handles time-to-event prediction in a super intuitive way.

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Setting up Jupyter for Deep Learning on EC2

This post is a simple guide on setting up an EC2 server for deep learning as quickly as possible.
Launching an Instance
In EC2, select ‘Launch Instance’. Select your AMI, choose Deep Learning AMI (Ubuntu). You could use the Amazon Linux version, I just personally prefer Ubuntu.
For actual deep learning, you will want to select a p* instance, ideally a p3 instance.

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