The demand for skills related to data preparation and exploration, modeling and training has never been higher. But where do we even start to learn about all of this?
Introducing IBM Watson Studio! It provides tools for data scientists, developers, and experts to collaborate with data and to build and train models at scale. It is targeted to give the flexibility to build models where the data resides and deploy applications anywhere in a hybrid environment.
This workshop is designed to teach beginners how to set up a simple project in Watson Studio. We will then explore how to create, train, and test a Visual Recognition Model as well as a Natural Language Classifier Model. By simply using the pre-built services, any developer will be able to get their project started in minutes and get a hands-on introduction into the world of Data Science!
This workshop will be facilitated by Mrinalini Sugosh, IBM Cloud Software Engineer. Mrinalini has been “hacking” away at tech projects since the age of 14! Her first project was programming her TI-84 calculator to be able quickly find the hypotenuse of a right triangle. Since then she has been in constant pursuit of employing CS to enable her curiosity. She recently graduated from UC Berkeley and took up a full-time position as a Software Engineer at IBM Cloud Innovation Lab. She works on developing User Interfaces for the Next Generation of IBM Cloud. Thank you, Mrinalini!
1500 Burnet Rd, Bldg 904, Austin, 78758, United States