Today we’re joined by Pat Woowong, principal engineer in the applied machine intelligence group at The Home Depot.
We discuss a project that Pat recently presented at the Google Cloud Next conference which used machine learning to predict shelf-out scenarios within stores. We dig into the motivation for this system and how the team went about building it, including what type of models ended up working best, how they collected their data, their use of kubernetes to support future growth in the platform, and much more.
For the complete show notes, visit twimlai.com/talk/175.
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Live from TWIMLcon! Operationalizing Responsible AI - #310
Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309
Live from TWIMLcon! Culture & Organization for Effective ML at Scale (Panel) - #308
Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307
Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306
Live from TWIMLcon! Encoding Company Culture in Applied AI Systems - #305
Live from TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
Deep Learning with Structured Data w/ Mark Ryan - #301
Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300
Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299
Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298
DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297
Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296
Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk #295
Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294
Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293
Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
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