[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Reza Zadeh on deep learning, hardware/software interfaces, and why computer vision is so exciting. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Scaling machine learning”
Category Archives: Data Science
Becoming a machine learning engineer
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Aurélien Géron on enabling companies to use machine learning in real-world products. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS.Continue reading “Becoming a machine learning engineer”
Natural language analysis using Hierarchical Temporal Memory
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Francisco Webber on building HTM-based enterprise applications. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of theContinue reading “Natural language analysis using Hierarchical Temporal Memory”
Time-turner: Strata San Jose 2017, day 2
There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 3 (maybe 5) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day wouldContinue reading “Time-turner: Strata San Jose 2017, day 2”
Time-turner: Strata San Jose 2017, day 1
There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 3 (maybe 5) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day wouldContinue reading “Time-turner: Strata San Jose 2017, day 1”
Deep learning that’s easy to implement and easy to scale
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Anima Anandkumar on MXNet, tensor computations and deep learning, and techniques for scaling algorithms. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Deep learning that’s easy to implement and easy to scale”
Building machine learning solutions that can withstand adversarial attacks
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Parvez Ahammad on minimal supervision, and the importance of explainability, interpretability, and security. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud,Continue reading “Building machine learning solutions that can withstand adversarial attacks”
Deep learning for Apache Spark
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jason Dai on BigDL, a library for deep learning on existing data frameworks. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud,Continue reading “Deep learning for Apache Spark”
The key to building deep learning solutions for large enterprises
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Adam Gibson on the importance of ROI, integration, and the JVM. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. AsContinue reading “The key to building deep learning solutions for large enterprises”
Use deep learning on data you already have
[A version of this post appears on the O’Reilly Radar.] Putting deep learning into practice with new tools, frameworks, and future developments. Deep learning has made tremendous advances in the past year. Though managers are aware of what’s been happening in the research world, we’re still in the early days of putting that research intoContinue reading “Use deep learning on data you already have”