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Create new value from your data. Train custom machine learning models to get topic, sentiment, intent, keywords and more.
Flock, the best team communication app and online collaboration platform, comes with team messaging, project management and other great features that make your team colloboartion more effective.Flock Integrations
It's easy to connect Monkey Learn + Flock without coding knowledge. Start creating your own business flow.
Monkey Learn is an API that can be integrated into websites and apps. It is a cloud-based platform for building custom machine learning models. Monkey Learn provides algorithms for classification, regression, recommendation, clustering, and deep learning. All algorithms are fully customizable and can be combined. The API uses the Python programming language (2.7 or 3.5.
Flock is a knowledge management platform made for field teams. It features task management, survey creation & assessments, video annotations, and map tracking.
I think it would be interesting to integrate Monkey Learn’s machine learning algorithms with Flock’s project management software. I could see this being useful for businesses that want to use machine learning for predictive analytics but don’t have the resources to employ data scientists or machine learning engineers. For example, let’s say you run a chain of supermarkets and you want to increase sales by selling more during the week than on weekends. You could work with a machine learning engineer to create a model that predicts how many customers will come to your store on any given day based on past traffic patterns. Then you could integrate the model into Flock so that your employees could see how many customers are expected to come into the store each day, making it easier for them to plan accordingly.
I think the biggest benefit of integrating Monkey Learn and Flock is the ability to do predictive analytics without having to hire a data scientist or machine learning engineer. This is especially beneficial for companies that don’t have the resources to hire specialists in these fields. This approach would also allow non-technical staff to better understand how machine learning models are created and why certain decisions are made based off of the data that’s fed into the model.
Another benefit of integrating Monkey Learn and Flock is the ability to easily reproduce the models created by engineers. With traditional methods of developing machine learning models, there isn’t an easy way for someone else to recreate the model without having access to the original dataset used to create the model. By storing the models themselves in Flock, other members of your organization can create their own versions of the model with minimal effort. For example, if you wanted to see how different factors affect sales in different regions of your store, you could create a new model and add/remove certain variables to see what impact they have on sales. This way, your managers can quickly evaluate different factors and decide which ones will have the most impact on sales without having to wait around for an engineer to develop a new model from scratch.
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