All of my MLConf interviews are available here.
- creating specific metrics for measuring how access to critical resources is impacted in disasters and to identify those communities that are most at risk before, during and after disasters.
- contributing to development of Seismic product to estimate near real time impacts in an earthquake
- creating evaluation metrics for machine learning models and set up the simulation pipeline to generate earthquakes for preparedness trainings and mitigation policy design
My interview with Cassie Kozyrkov, Chief Decision Scientist at Google. Many topics are covered: data science, statistics, education, leadership, inclusivity, comprehensive list of favorite resources and so much more!
My interview with Narine Kokhlikyan. Many topics are covered: time series + NLP + anomaly detection as well as hot topics like diversity and algorithm reliability.
Check out this interview that @reshamas did with @Nunushik from @Rakuten_Intel on the mlconf blog. They cover time series + NLP + anomaly detection as well as hot topics like #diversity and Algorithm reliability. https://t.co/SwvEDVuzLP— MLconf (@MLconf) September 26, 2018
My interview with Kavita Reddy, Data Science Manager at Second Measure on working with billions of bank and credit card transactions. It is posted on MLConf’s website.
LinkedIn: K Reddy
Leslie N. Smith
My interview with Leslie N. Smith is posted on MLConf website.
Leslie N. Smith, is a Senior Research Scientist at the US Naval Research Laboratory. His research is in optimizing hyperparameters in deep learning.
Interview with Leslie N Smith, PhD of @USNRL by @reshamas on his research: optimizing hyperparameters in #DeepLearning, which has been implemented in the @fastdotai libraryhttps://t.co/ZccjNxIsaS pic.twitter.com/na5zbhE4DU— MLconf (@MLconf) May 2, 2018
My interview with Erik Schlicht, who is the founder of the Computational Cognition Group, LLC. It is posted on MLConf’s website.
My interview with Andreas Mueller, who is the core contributor to the Python Scikit-learn library, was conducted right before our first WiMLDS Scikit Sprint to involve more women in open source contribution. It is posted on MLConf’s website.