The Marketing O'Clock team covers the Twitter hack that rocked the world, new Google Ads features, and Google Analytics predictive tools for advertisers.
Hosts Jess Budde, Greg Finn, and Christine “Shep” Zirnheld are back with another episode of Marketing O’Clock, Search Engine Journal’s digital marketing news podcast.
This week, we’re discussing that huge Twitter hack, new Google Ads features, and predictive audiences and metrics in Google Analytics.
Plus, we share our thoughts on the Free Britney conspiracy, tell our mummies about our new favorite meme, and exceed our quota for bad puns.
Listen wherever you consume your podcasts or watch us on YouTube for coverage on these stories:
Twitter accounts with coveted blue checkmarks were compromised in a Twitter hack on July 15.
Major brands, celebrities, and politicians were impacted, with spammy cryptocurrency schemes tweeted from their accounts.
While they investigated the issue, Twitter blocked all verified accounts from sending Tweets and advertisers noted that they were unable to create promoted tweets during the outage.
The hackers reportedly executed the hack by exploiting internal employee tools.
This week, Google Ads announced that its image extension beta test officially launched. These extensions show on the right side of text ads in the search results.
Advertisers who use responsive search ads can now take advantage of cross-campaign asset reporting and countdown customizers in their headlines and descriptions.
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.