Continuous Delivery for Machine Learning Applications with Open Source Tools
Developing intelligent applications is becoming easier based on huge amounts of freely accessible documentation, tutorials, and software frameworks. But what does it actually take to bring these applications into production environments, run them scalable and in high quality and improve them continuously?
We will present how we have developed a chatbot for HR services with , TensorFlow and Keras and organized the development process with mixed teams of product owners, data scientists, dialog designe
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Практики Continuous Delivery с Docker (Флант, RootConf 2016)
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Continuous Delivery for Machine Learning Applications with Open Source Tools