Speaker: Megan Cartwright
Megan is passionate about discovering causal relationships closely followed by a love of warp drive. Now she’s enjoying the challenge of predicting the best bra for any woman. She entered data science via physics where she developed algorithms to predict energy transfer across the solar system. She’s from the PNW, but loves the CA sun. She earned her PhD in space plasma physics from UCLA and has worked in e-commerce at One Kings Lane and Eventbrite.
Talk : Developing a Machine Learning MVP @ThirdLove
Other talks from track Solving Software Engineering Problems with Machine Learning
2019 Tracks
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Groking Timeseries & Sequential Data
Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.
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Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.
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Solving Software Engineering Problems with Machine Learning
Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.