Watch highlights covering machine learning, GDPR, data protection, and more. From the Strata Data Conference in London 2018.
The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.
Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.
The O’Reilly Data Show Podcast: Jerry Overton on organizing data teams, agile experimentation, and the importance of ethics in data science.
Both reproducible science and open source are necessary for collaboration at scale—the nexus for that intermingling is Jupyter.
A failed analytics startup post-mortem.
The O’Reilly Data Show Podcast: Guillaume Chaslot on bias and extremism in content recommendations.
The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity.
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.
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.
“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