A look at the rise of the deep learning library PyTorch and simultaneous advancements in recommender systems.
Without the proper cataloging, curation, and security that self-service data platforms allow, companies are left vulnerable to cybersecurity threats and misinformation.
The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement.
The quest to evolve neural networks through evolutionary algorithms.
Analyzing tweets and posts around Trump, Russia, and the NFL using information entropy, network analysis, and community detection algorithms.
Solving challenges of data analytics to make data accessible to all.
Watch highlights covering machine learning, smart cities, automation, and more. From Strata Data Conference in Singapore 2017.
Watching the appeal and applications of machine intelligence expand.
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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.
Mike Barlow examines the growth of sophisticated cloud-based AI and machine learning services for a growing market of developers and users in business and academia.
Get intensive, hands-on training on current critical data technology topics, led by instructors from O'Reilly's unparalleled network of tech innovators and expert practitioners.
“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