Anomaly detection, ML in IDE's, bayesian optimization for config. Machine Learning techniques for more effective software engineering.
Track: Solving Software Engineering Problems with Machine Learning
Tracks
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Groking Timeseries & Sequential Data
Techniques, practices, and approaches, including image recognition, NLP, predictions, & modeling.
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Deep Learning in Practice
Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe including use cases on machine translation, computer vision, & image recogition.
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Papers to Production: CS in the Real World
Groundbreaking papers make real world impact.
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Solving Software Engineering Problems with Machine Learning
Anomaly detection, ML in IDE's, bayesian optimization for config. Machine Learning techniques for more effective software engineering.
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.