R is one of the most widely used programming languages for statistical computing and machine learning. Many data scientists love it, especially for the rich world of packages from tidyverse, an opinionated collection of R packages for data science. Besides the tidyverse, there are over 18,000 open-source packages on CRAN, the package repository for R. RStudio, available as desktop version or on the Google Cloud Marketplace, is a popular Integrated Development Environment (IDE) used by data professionals for visualization and machine learning model development. Once a model has been built successfully, a recurring question among data scientists is: "How do I deploy models written in the R language to production in a scalable, reliable and low-maintenance way?" In this blog post, you will walk through how to use Google Vertex AI to train and deploy enterprise-grade machine learning models built with R. Managing machine learning models on Vertex AI can be done in a variety of ways, including using the User Interface of the Google Cloud Console, API calls, or the Vertex AI SDK for Python.

Launched in 2013, ManoMano is the European leader specialised in DIY, home improvement and gardening online. ManoMano brings together the largest offer of DIY & gardening online products. With more than 3600 seller partners and 10 million products, ManoMano brings together the largest offer across 6 countries: France, Belgium, Spain, Italy, Germany, United Kingdom. We currently are 650 Manas & Manos, including a quarter of international talents and 24 nationalities, working in our 4 offices (Paris x2, Bordeaux and Barcelona). People are at the heart of ManoMano's culture around our 3 core values: boldness, ingeniosity and care.

Teachable Machine is an experiment from Google to bring a no-code and low-code approach to training AI models. Anyone with a modern browser and webcam can quickly train a model with no prior knowledge or experience with AI. Teachable Machine is not exactly new. It was initially launched in 2017 and got revamped in 2019 with additional capabilities, including saving the model to Google Drive and exporting it to other applications. The community behind the project is continuously making it better. It has become so popular that education researcher Blakeley H. Payne and her teammates have been using Teachable Machine as part of an open-source curriculum that teaches middle-schoolers about AI through a hands-on learning experience.