Abstract: In this webinar targeted at developers who are new to Machine Learning, I'll present the type of predictive features that can be integrated in any app (mobile, desktop, web…) and powered by data and machine learning. We'll also look at what's at stake when using ML in production and what the steps are to integrate this technology into real-world apps. In particular, we'll review open source libraries and cloud platforms that make it easier to create and experiment with ML models, but also to deploy them to production. I'll demo how to create a simple predictive model in Python with scikit-learn, how to deploy it as a REST API, and how to use that API. About your host: Louis Dorard is General Chair of the PAPIs.io Louis is also the instructor of the Operational Machine Learning workshop.

MeaningCloud is an easy, powerful and affordable way to extract the meaning of any kind of unstructured content, from social conversations to internal files. It leverages a mix of natural language processing and machine learning technologies to provide APIs for information extraction, text classification and clustering, sentiment analysis, POS tagging… and other high-level functions like user profiling. These APIs can be totally customized to your domain using graphical tools and without the need to code, providing an unparalleled accuracy. And it features an add-in for Excel, so that you can do text analytics in your spreadsheet and a generous Free plan..