Building a Reproducible Machine Learning Pipeline With Kubernetes, Tensorflow, and Kuberflow
Ieva Vaišnoraitė-Navikienė; CTO at Attention Insight
SwissAI Machine Learning Meetup on "Deep Learning with TensorFlow"
MAIN TOPICS:
1. What are Google Kubernetes and Kubeflow and when should we use them?
2. How to use Kubeflow with Tensorflow to create reusable machine learning pipelines?
3. How to set-up and maintain machine learning pipeline versioning control?
ABSTRACT: Machine learning is an extremely repetitive process. In case to produce good predictions many steps and even sequences of steps are repeated over and over again. This is particularly important when we are talking about biodata which could be preprocessed in many ways. That adds even more complexity to the data analysis pipeline. Pipeline complexity issue could be tackled in many ways and the Google team suggests many tools that are targeting different aspects of it. In the presentation, I will show Kuberflow - one of the tools to structure containers into pipelines and in that way make the solution more portable and reproducible.
SPEAKER: Ieva Vaišnoraitė-Navikienė is CTO, and Machine Learning Developer at Attention Insight, a company that created an AI platform that allows predicting, where users look while engaging with visual content. The platform allows testing your website design, get immediate insights about customer engagement with the content you created, and to make data-driven design decisions, based on thounsands of other examples and similar pages. / ieva-vaisnoraite-navikiene
ORGANIZERS
SwissAI Machine Learning Meetup is one of the larges AI meetups in Switzerland, with regular meetings, great speakers invited from academia and industry and over 1600 members.
For more information and future events visit https://www.SwissAI.org
Pawel ROSIKIEWICZ, Founder of SwissAI, Main Organiser
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Prof. Martin JAGGI, Head of Machine Learning and Optimisation Laboratory, EPFL
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Veronica ALONSO KANONNIKOFF, Marketing & Communication Advisor
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Chris PEDDER, Ph.D, NLP ML engineer & Copywriter
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Luca PESCATORE Ph.D; Data Scientist & Particle Physicis
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Onur YÜRÜTEN, Volunteer, Data Scientist
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Salar Rahimi, Volunteer, MSc Student, EPFL
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Keshav SINGH, Volunteer, MSc Student, EPFL
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Clement CHAROLLAIS, EPFL, Camera Operator and Movie Editing
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SPONSORS
École Polytechnique Fédérale de Lausanne (EPFL)
https://www.epfl.ch
Innovaoud
https://www.innovaud.ch
Noe Lutz, Engineering Lead at Google AI - Private sponsor
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