Join PyData DC for their monthly virtual meetup!

Description: Machine learning models are increasingly used to inform high-stakes decisions. Discrimination by machine learning becomes objectionable when it places certain privileged groups at the systematic advantage and certain unprivileged groups at a systematic disadvantage. Bias in training data, due to prejudice in labels and under -or oversampling, yields models with unwanted bias. This session will explore open source tools to detect/mitigate bias, increase transparency, and enable governance in ML models.

Speaker: Saishruthi Swaminathan, Technical Lead & Data Scientist at IBM.

Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good. Previously, she worked as a software developer. On a mission to spread the knowledge and experience, she acquired in her learning process. She also leads the education for rural children initiative and organizing meetups focusing on women empowerment. She has a master's in electrical engineering, specializing in data science, and a bachelor’s degree in electronics and instrumentation.

Program

• 6:00 👋🏼 Welcoming remarks
• 6:05 🗣 Announcements
• 6:15 🧠 Presentation
• 6:45 ❓ Q&A
• 6:55 🍻 Virtual happy hour BYOB
  
  
  

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