Here are 7 free AI tools that'll save you hours of work: Say goodbye to creator's block! Copy AI helps you put together written content and copy in no time. Their powerful AI produces high-quality content in a fraction of the time it would usually take to write something up yourself. Why spend hours designing your own logo and branding when Looka can handle all that for you? It's powerful AI takes into account your industry and design-style to put together a logo that suits exactly what you need.

Small business classification is a difficult and important task within many applications, including customer segmentation. Training on small business names introduces gender and geographic origin biases. A model for predicting one of 66 business types based only upon the business name was developed in this work (top-1 f1-score = 60.2%). Two approaches to removing the bias from this model are explored: replacing given names with a placeholder token, and augmenting the training data with gender-swapped examples. The results for these approaches is reported, and the bias in the model was reduced by hiding given names from the model. However, bias reduction was accomplished at the expense of classification performance (top-1 f1-score = 56.6%). Augmentation of the training data with gender-swapping samples proved less effective at bias reduction than the name hiding approach on the evaluated dataset.

Your free Google business listing (known as your Business Profile) can do more than you think. When properly optimized, it showcases your best features and makes it easy for consumers to discover, learn about, and contact your business. But in order to properly optimize your Business Profile, you need access to it, and in order to access it, you need to verify with Google that you are the rightful owner. While it seems as though it should be as simple as "step one create, step two claim, and step three verify," the process is neither that simple nor that linear--which, if you're reading this post, you have already figured out. That's because it requires three different Google accounts and two different Google platforms, all of which have very similar names.

Big data has been at the forefront of the design industry for years. A number of companies have written detailed articles on the utilization of data visualization with graphics. However, big data can be effective in more rudimentary designs as well. There are a lot of effective ways to use big data to make better designs. Many modern design tools rely on sophisticated machine learning algorithms.

Crowdsourcing is an effective tool for scalable data annotation in both research and enterprise contexts. Due to crowdsourcing’s open participation model, quality assurance is critical to the success of any project. Present methods rely on EM-style post-processing or manual annotation of large gold standard sets. In this paper we present an automated quality assurance process that is inexpensive and scalable. Our novel process relies on programmatic gold creation to provide targeted training feedback to workers and to prevent common scamming scenarios. We find that it decreases the amount of manual work required to manage crowdsourced labor while improving the overall quality of the results.