Infrastructure for Machine Learning Applications
TensorFlow 2.0 is the new version of the end-to-end open source platform for Machine Learning, where researchers can push the state-of-the-art in ML and developers can build and deploy ML and AI powered 
applications. In this talk, Natalie will share from her experience the infrastructure side of things, and will discuss considerations in preparing the infrastructure for an ML training, real time and offline.
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Natalie Pistunovich is a learner, a Google Developer Expert for Go, a public speaker and a sailor. When she's not working on robust systems with Aerospike, she is organizing the GopherCon Europe and Cloud Nein conferences, and the Berlin chapters of the Go and Women Techmakers user groups. Prior to that she was an Engineering manager (Berlin), Backend Developer (Los Angeles, Berlin), Silicon Integration Engineer (Haifa) and a Co-Founder (Nairobi). In her free time she's wondering is there life on Mars? |