reinforcement learning Azure ML Azure Cognitive Services Microsoft Azure Cognitive Services Deep Learning Responsible AI Analytics Analytics and Big Data Azure Data & AI Azure Databricks Azure Synapse Analytics Azure Data Platform
Copenhagen, Capital Region, Denmark
I meet a lot of people at conferences or webinars where I participate at as speaker, or when I consult at a customer, and I often have the feeling that some people are very confused about what is involved in the everyday work of a data scientist.
Sometimes I ask these people where they heard all that strange information, and they claim to read it in some tutorials. It turns out, that some tutorials include information that is not necessary a lie or stupid, but it easily can be misleading for someone who just would like to get started in this field.
I collected some information that me, and other data scientists found at different tutorials...
Eva is a skilled Software Developer and Data Scientist.
Eva has been working close to Microsoft since her first years of university, as a Microsoft Student Partner first, and now as a Microsoft Most Valuable Professional. She has worked with Azure Infrastructure (Azure AD, Datacenters, etc.), then Mobile and Web development, and today she has expanded her focus with Data Science and the Machine Learning (ML)/AI services provided by Microsoft.
She’s a familiar face as speaker at conferences, meetups and other community events, sharing her passion for AI and how it can be used to improve life quality around the world. Board member of Global AI Community and AI42.
Eva also writes articles about her projects and researches and is mentoring and supporting people who would like to start in the field of Data Science and AI.