This week on Marketing O'Clock, we cover Twitter's voice tweet feature, Google Ads' new targeting restrictions, Spotify's self-serve video ads, and more.
Jess Budde, Greg Finn, and Christine “Shep” Zirnheld are here with a fresh new episode of Marketing O’Clock.
We talk about all the digital marketing news of the week and try to come up with a catchier name for Twitter’s new audio Tweets.
Twitter is testing a new feature that allows users to record a voice message to Tweet.
The feature is currently live for a select group of iOS users and will be rolling out to all iOS users soon.
Google will no longer allow advertisers to target by zip code for housing, employment, or credit-related ads.
Ads for these categories will additionally no longer allow targeting on the basis of gender, age, parental status, or marital status.
Their current policy prohibits targeting based on, race, religion, ethnicity, sexual orientation, disability, or national origin.
Google said they have been working closely with and received guidance from the U.S. Department of Housing and Urban Development (HUD) on these changes.
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.