The Marketing O'Clock team covers Facebook's new virtual events, Microsoft Ads Editor's new update, Search Console Insights for webmasters, and more.
Jess Budde, Greg Finn, and Christine “Shep” Zirnheld are back to deliver the biggest digital marketing news of the week.
Plus, the SEO community proves why we can’t have nice things when Google’s new custom background image test turns into a gallery of unsavory Image results.
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Page owners will now have the ability to host online events via Facebook and charge an optional attendance fee.
Facebook will not profit off of ticket sales, with 100% of the cost of admission going to the business hosting the event.
These new events are currently available in 20 countries and businesses must be eligible for partner monetization to qualify.
Google has a new tool for webmasters, Search Console Insights.
Despite the confusing name, this new feature is powered by data from both Search Console and Google Analytics to help publishers and content creators understand how their audience is finding and responding to their content.
This experience is not optimized for desktop but can help you take a closer look at how your site is performing on mobile.
The easiest way to access Search Console Insights is simply by searching “Search Console Insights” on Google.
The latest version of Microsoft Advertising Editor supports automated recommendations which can be reviewed or implemented directly from the Editor interface.
Neural networks, as their name implies, are computer algorithms modeled after networks of neurons in the human brain. Learn more about neural networks from Algorithmia.
Recurrent neural networks, also known as RNNs, are a class of neural networks that allow previous outputs to be used as inputs while having hidden states.
The purpose of this project is to build and evaluate Recurrent Neural Networks(RNNs) for sentence-level classification tasks. Let's understand about recurrent neural networks for multilabel text classification tasks.
Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.
Convolutional Neural Network: How is it different from the other networks? What’s so unique about CNNs and what does convolution really do? This is a math-free introduction to the wonders of CNNs.