Yiwen Li is a software developer and data scientist at IBM, where she design and develop data science solutions and Machine Learning models to solve real world problems. This includes prototyping, enhancing, and adapting Machine Learning models and helping with productionizing the use cases. She has been creating online content such as code patterns, tutorials, and blogs demonstrating the potential of products and services offered by IBM (like Watson Studio, Machine learning, Model Asset eXchange, Data Asset eXchange, etc.). She also dedicatedly contributes to TensorFlow and other open source community. She holds dual degree, including BS in Probability and Statistics and BA in Economics from the University of California, San Diego.
Monday Oct. 12, 2020, 4 p.m.–Oct. 12, 2020, 4:15 p.m. in Jupyter Community: Tools