Speaker "Cesar De La Torre Llorente" Details Back



From Zero to AI Hero with Automated Machine Learning


Automated ML is an emerging field in Machine Learning that helps data scientists to improve their productivity while also helping developers with little data science knowledge to build Machine Learning models and solutions without understanding the complexity of training algorithm selection, configuration, and hyperparameter tuning. With Azure Automated Machine Learning’s capabilities, given a dataset and a few configuration parameters such as the ML problem you want to solve, you will get a trained high quality machine learning model that you can use for making predictions. In this session, you will learn how to use Automated ML (with the SDK and the UI) while identifying the best approaches and tools to use depending on your scenario.


Cesar works as Principal PM for Microsoft Corporation at the Azure Machine Learning team. Previously he worked for the ML.NET and .NET teams in Microsoft. His background, in addition to machine learning and data science (Scikit-Learn, Azure ML, ML.NET) is also centered on software architecture, distributed applications, microservices architecture, containers, orchestrators and DevOps.