- A collaborative, drag-and-drop tool
- Build, test, and deploy predictive analytics solutions
- It publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel
Azure Machine Learning can be applied to any type of machine learning (ml), from standard ml to deep learning, supervised, and unsupervised learning. Whether you prefer to write Python or R code or zero-code/low-code options such as the designer, you can create, shape, and track highly accurate machine learning and deep-learning models.
At Rockfeather, we embrace the possibilities of machine learning. We use data science in a lot of situations. For example, we used it for the analysis of customer churn. Data science helps our customers to understand why their customers stop doing business with them. As a result, with these insights on the table, the process improved and customer loyalty got a boost.
Azure ML is the most certified cloud provider worldwide, meeting the most top security and quality requirements. Add that to a variety of possibilities, and you have a strong basis for a future-proof A.I. organization.
You got to love learning. Every now and then we host trainings, workshops and webinars, so you can stay well ahead in the game. See our events page fore more information.
Machine learning is a form of artificial intelligence where, through software and algorithms a computer uses from historical data to make predictions about the future. These complex computer codes, also known as algorithms, are used to create complex models.
Artificial Intelligence, Data Science & Machine Learning are themes that you can no longer ignore. But have you ever worked with them? Or are they mainly buzzwords for you? During our free workshop, we gave you the opportunity to take concrete steps in the data science field in a single day.