Alfredo Luque |
Airbnb Software Engineer
Alfredo is a Software Engineer on Airbnb’s ML Infra team and creator of Bighead Library in addition to being one of the pioneers of the platform as a whole. Prior to joining Airbnb, he cofounded a hedge fund (Blacklab Capital) focused on ML-powered algorithmic trading and has also previously worked in realtime advertising and cryptocurrency arbitrage.
Alfredo Luque |
Airbnb
Software Engineer
Software Engineer
即将开始的A2M课程
Bighead: Airbnb's Machine Learning Platform
AI工具与框架
2019-05-19 11:00--12:00
Bighead is Airbnb’s approach to creating a platform that covers all aspects of using ML at a company. Starting with sophisticated feature engineering at scale to model development/prototyping and ending with deployment in a variety of environments. The audience will walk through the many challenges of designing a platform that’s both flexible and scales well along with the design decisions that Airbnb has taken to design infrastructure that can be used both internally and by the open source community. A variety of unique ML use cases will be covered as well.
Alfredo is a Software Engineer on Airbnb’s ML Infra team and creator of Bighead Library in addition to being one of the pioneers of the platform as a whole. Prior to joining Airbnb, he cofounded a hedge fund (Blacklab Capital) focused on ML-powered algorithmic trading and has also previously worked in realtime advertising and cryptocurrency arbitrage.
即将开始的A2M课程
Bighead: Airbnb's Machine Learning Platform
AI工具与框架
2019-05-19 11:00--12:00
Bighead is Airbnb’s approach to creating a platform that covers all aspects of using ML at a company. Starting with sophisticated feature engineering at scale to model development/prototyping and ending with deployment in a variety of environments. The audience will walk through the many challenges of designing a platform that’s both flexible and scales well along with the design decisions that Airbnb has taken to design infrastructure that can be used both internally and by the open source community. A variety of unique ML use cases will be covered as well.
