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Presentation: Zero to Production in Five Months @ ThirdLove

Track: Modern CS in the Real World

Location: Pacific LMNO

Duration: 1:40pm - 2:30pm

Day of week: Monday

Level: Intermediate - Advanced

Persona: CTO/CIO/Leadership, Data Engineering, Data Scientist, Developer

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Abstract

At ThirdLove, we believe that every woman should be comfortable and confident every day. For half of the world’s population that means a bra whose straps stay put, their cup mold to their shape and is the perfect style for the occasion. In this talk, we will discuss how we built our first machine learning recommendation algorithm that predicts bra size and style. We will cover two broad topics - the first being the challenge of working with real-world data where there is no truth flag. Then we will talk about the tradeoffs associated with key decisions we made around design, implementation and testing.

Speaker: Megan Cartwright

Head of Data Science @ThirdLove

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.

Find Megan Cartwright at

Tracks

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    Applied, practical & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on.

  • Software Supply Chain

    Securing the container image supply chain (containers + orchestration + security + DevOps).

  • Modern CS in the Real World

    Thoughts pushing software forward, including consensus, CRDT's, formal methods & probabilistic programming.

  • Tech Ethics: The Intersection of Human Welfare & STEM

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  • Optimizing Yourself: Human Skills for Individuals

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  • Modern Data Architectures

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  • Practices of DevOps & Lean Thinking

    Practical approaches using DevOps and a lean approach to delivering software.

  • Operationalizing Microservices: Design, Deliver, Operate

    What's the last mile for deploying your service? Learn techniques from the world's most innovative shops on managing and operating Microservices at scale.

  • Bare Knuckle Performance

    Killing latency and getting the most out of your hardware

  • Architectures You've Always Wondered About

    Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more

  • Machine Learning for Developers

    AI/ML is more approachable than ever. Discover how deep learning and ML is being used in practice. Topics include: TensorFlow, TPUs, Keras, PyTorch & more. No PhD required.

  • Production Readiness: Building Resilient Systems

    Making systems resilient involves people and tech. Learn about strategies being used from chaos testing to distributed systems clustering.

  • Surviving Uncertainty: Regulation, Risk, and Compliance

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  • Languages of Infra

    This track explores languages being used to code the infrastructure. Expect practices on toolkits and languages like Cloudformation, Terraform, Python, Go, Rust, Erlang.

  • Building & Scaling High-Performing Teams

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  • JavaScript & Transpiler/WebAssembly Track

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