ML in Production: Serverless and Painless - Oliver Gindele, PhD | ODSC Europe 2019
Oliver Gindele, PhD is Head of ML at Datatonic. Oliver was speaking at ODSC Europe 2019
→ To watch more videos like this, visit https://aiplus.odsc.com ←
Productionising machine learning pipelines can be a daunting and difficult task for Data Scientists. Fortunately many novel tools and technologies have become available in the past years to address this issue and make it easier than ever to deploy ML models into production. In this session Oliver will walk through some of the best options on how to operationalise ML pipelines within the Tensorflow ecosystem and on Google Cloud Platform, based on actual case studies.
One of these real-life case studies will dive into the journey of a global cosmetics brand to become packaging-free with the help of ML. The first step towards this goal allows customers to view product information simply by taking a picture. This completely eliminates the need for packaging and labels in stores. However, in order to do this effectively, an accurate image classification model, accessible on mobile phones, is needed. This session will cover the details of the end-to-end machine learning pipeline that was created to deliver and update performant ML models to the mobile users.
Do You Like This Video? Share Your Thoughts in Comments Below
Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops:
https://odsc.com/europe/
https://odsc.com/california/
Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/
Follow Us Online!
• Facebook: https://www.facebook.com/OPENDATASCI/
• Instagram: https://www.instagram.com/odsc/
• Blog: https://opendatascience.com/
• Linkedin: https://www.linkedin.com/company/open-data-science/
• Learning Videos: https://learnai.odsc.com
#MachineLearning #ODSC #DataScience
Видео ML in Production: Serverless and Painless - Oliver Gindele, PhD | ODSC Europe 2019 канала Open Data Science
→ To watch more videos like this, visit https://aiplus.odsc.com ←
Productionising machine learning pipelines can be a daunting and difficult task for Data Scientists. Fortunately many novel tools and technologies have become available in the past years to address this issue and make it easier than ever to deploy ML models into production. In this session Oliver will walk through some of the best options on how to operationalise ML pipelines within the Tensorflow ecosystem and on Google Cloud Platform, based on actual case studies.
One of these real-life case studies will dive into the journey of a global cosmetics brand to become packaging-free with the help of ML. The first step towards this goal allows customers to view product information simply by taking a picture. This completely eliminates the need for packaging and labels in stores. However, in order to do this effectively, an accurate image classification model, accessible on mobile phones, is needed. This session will cover the details of the end-to-end machine learning pipeline that was created to deliver and update performant ML models to the mobile users.
Do You Like This Video? Share Your Thoughts in Comments Below
Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops:
https://odsc.com/europe/
https://odsc.com/california/
Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/
Follow Us Online!
• Facebook: https://www.facebook.com/OPENDATASCI/
• Instagram: https://www.instagram.com/odsc/
• Blog: https://opendatascience.com/
• Linkedin: https://www.linkedin.com/company/open-data-science/
• Learning Videos: https://learnai.odsc.com
#MachineLearning #ODSC #DataScience
Видео ML in Production: Serverless and Painless - Oliver Gindele, PhD | ODSC Europe 2019 канала Open Data Science
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Data Valuation - Valuing the World's Greatest Asset | Andy Neely, PhD | ODSC Europe 2019Beyond Deep Learning - Differentiable Programming with Flux - Avik Sengupta | ODSC Europe 2019What is ML Ops? Best Practices for DevOps for ML (Cloud Next '18)Pieter Abbeel: Recent Advances and Trends in Artificial Intelligence | Keynote | ODSC East 2019AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 AlternativesMichael Stonebraker: Top 10 Big Data Blunders | Keynote Address | ODSC East 2019Hilary Mason: The Future of AI and Machine Learning | Keynote Address | ODSC East 2019Making Data Useful - Cassie Kozyrkov, PhD | ODSC Europe 2019Battista Biggio | Machine Learning Security: Adversarial Attacks and DefensesBuilding an Industry Classifier With The Latest Scraping, NLP and Deployment Tools - Ido ShlomoIntroduction to Kubeflow Pipelines - Dan Anghel | ODSC Europe 2019Probabilistic Deep Learning in TensorFlow: The Why and How | ODSC Europe 2019Learning with Limited Labeled Data | Shioulin Sam, PhD - ODSC Europe 2019Rule Induction and Reasoning in Knowledge Graphs | Daria Stepanova, PhD - ODSC Europe 2019Machine learning for mobile sensing... - Michael Bell, PhD | ODSC East 2018Industrial Artificial Intelligence - The Driving Force - Diego Galar, PhD | ODSC Europe 2019Dynamic pricing and demand prediction using Artificial IntelligenceBuilding a serverless ML modelThe Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks