QCon Software Development Conferences:
Predictive Data Pipelines & Architectures by Sid Anand
QCon Software Development Conferences:
The Black Swan of Perfectly Interpretable Models by Leah McGuire & Mayukh Bhaowal
QCon Software Development Conferences:
The Black Swan of Perfectly Interpretable Models by Leah McGuire & Mayukh Bhaowal
QCon Software Development Conferences:
The Black Swan of Perfectly Interpretable Models by Leah McGuire & Mayukh Bhaowal
QCon Software Development Conferences:
Two Effective Algorithms for Time Series Forecasting by Danny Yuan
QCon Software Development Conferences:
Two Effective Algorithms for Time Series Forecasting by Danny Yuan
QCon Software Development Conferences:
Machine Learning Pipeline for Real-time Forecasting @Uber Marketplace by Danny Yuan & Chong Sun
QCon Software Development Conferences:
Machine Learning Pipeline for Real-time Forecasting @Uber Marketplace by Danny Yuan & Chong Sun
QCon Software Development Conferences:
Machine Learning Pipeline for Real-time Forecasting @Uber Marketplace by Danny Yuan & Chong Sun
QCon Software Development Conferences:
Building (Better) Data Pipelines with Apache Airflow by Sid Anand
QCon Software Development Conferences:
Building (Better) Data Pipelines with Apache Airflow by Sid Anand
QCon Software Development Conferences:
Data Pipelines for Real-Time Fraud Prevention at Scale by Mikhail Kourjanski
QCon Software Development Conferences:
Data Pipelines for Real-Time Fraud Prevention at Scale by Mikhail Kourjanski
QCon Software Development Conferences:
pDB: Scalable Prediction Infrastructure With Precision and Provenance by Balaji Rengarajan
QCon Software Development Conferences:
pDB: Scalable Prediction Infrastructure With Precision and Provenance by Balaji Rengarajan