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- How much are you losing from inaccurate
- ML development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional ...
- As companies roll out ML pervasively, operational concerns become the primary source of complexity. Machine Learning ...
- While many companies are already experimenting with AI or ML, not all have been able to capitalize on their potential fully. This is ...
- Solving a data science problem is about more than making a model. It entails data cleaning, exploration, modeling and tuning, ...
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In retail, the right quantity at the right time is crucial for success. In this session we share how a In this session, we look at how one of the world's largest CPG company setup a scalable MLOps pipeline for a Machine learning development brings many new complexities beyond the traditional software development lifecycle. Thanh is Director of Data Science for Upwork where he leads on all aspects of search & recommendations, knowledge graph and ...
This in-depth session explores advanced MLOps practices for
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