RISE Lab’s Ray platform adds libraries for reinforcement learning and hyperparameter tuning.
The O’Reilly Data Show Podcast: Fabian Yamaguchi on the potential of using large-scale analytics on graph representations of code.
The sessions and training courses at Strata Data San Jose 2018 will focus on practical use cases of machine learning for data scientists, engineers, managers, and executives.
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
How new developments in algorithms, machine learning, analytics, infrastructure, data ethics, and culture will shape data in 2018.
A look at the rise of the deep learning library PyTorch and simultaneous advancements in recommender systems.
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The adventures in deep learning and cheap hardware continue!
June Andrews talks about simple, cost-effective algorithmic computing at scale.
Working with uncertainty in real-world data.
How to build a class of RL agents using a TensorFlow notebook.
Decoding simple regex features to match complex text patterns.
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“Data is having an impact on business models and profitability. It’s hard to find a non-trivial application that doesn’t use data in a significant manner.”— Ben Lorica, Director of Content Strategy for Data at O'Reilly Media