Recipes that deal with various aspects of troubleshooting, from debugging pods and containers, to testing service connectivity, interpreting a resource’s status, and node maintenance.
Ben Brown on why messaging design will become as important as responsive design.
Bitcoin Badness, True Platform, Hardware Details, and Continuous Game of Life
One of our goals is to bring Jupyter’s enterprise use cases and practices into one place.
The O’Reilly Data Show Podcast: A special episode to mark the 100th episode.
Successful projects will think seriously about what blockchains mean, and how to use them effectively.
The personal robot temi refactors robotic human behaviors we encounter in the “iPhone Slump,” and moves those back to actual robots.
May 25 is an important day for data protection in the EU and elsewhere. Alison Howard explains how Microsoft has prepared for May 25 and beyond.
Mick Hollison, Sven Löffler, and Robert Neumann explain how Deutsche Telekom is harnessing machine learning and analytics in the cloud to build Europe’s largest IoT data marketplace.
Eva Kaili outlines the fundamentals of GDPR and applications of blockchain.
Watch highlights covering machine learning, GDPR, data protection, and more. From the Strata Data Conference in London 2018.
Pierre Romera explores the challenges in making 1.4 TB of data securely available to journalists all over the world.
Jean-François Puget explains why human context should be embraced as a guide to building better and smarter systems.
It’s time to sort the sheep from the goats, or the willing from the unwilling.
The O'Reilly Podcast: Knowing your audience and then appropriately focusing the performance of your application is critical.
Don’t pigeonhole blockchain as a technology that’s primarily useful for finance.
Unpacking the complexity of blockchain, term by term.
Dave Patterson and other industry leaders discuss how MLPerf will define an entire suite of benchmarks to measure performance of software, hardware, and cloud systems.
MLPerf is a new set of benchmarks compiled by a growing list of industry and academic contributors.
Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs.
Paul McAleer discusses practical strategies for designing for mobile.
O’Reilly Media Podcast: JP Phillips, platform engineer at IBM Cloud, on problem solving with containers and Kubernetes, and how developers can get started.
Learn how to build fast, secure, accessible experiences at the O’Reilly Fluent Conference this June.
A step-by-step guide through the essential ingredients of discovery.
The O’Reilly Podcast: Brendan Eich on disrupting advertising, decentralizing payments, and privacy by design.
The O'Reilly Velocity Conference in San Jose will cover what you need to know to build high-performance, resilient, and secure systems.
Get insights on rebuilding the web, neuroevolution, data engineers vs. data scientists, the blockchain, and design thinking.
Perspectives, hard-earned lessons, and strategies from design leaders offer insight into the inner workings of their paths to success.
The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.
Federated load balancing makes hosting resilient applications and operating at scale in the public cloud manageable.
We are likely to see more open interfaces and metaframeworks emerge, but they have their drawbacks.
Why it’s best to keep people’s lifestyles and environment in mind when designing products and devices.
There’s no (ethical) way to avoid having the user consciously choose whether or not to act, but products can change the nature of that choice.
The O’Reilly Fluent and Velocity conferences are teaming up to create a unique learning opportunity that addresses the full web experience.
Using machine learning, deep learning, and cognitive computing in concert can help enterprises gain competitive edges.
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.
Get a basic overview of machine learning and then go deeper with recommended resources.
Olga Russakovsky explains how her organization, AI4ALL, aims to increase diversity and inclusion in AI development and research.
Dario Gil explores state-of-the-art computing for AI as it exists today as well as an innovation that will lead us into the decades to come: quantum computing for AI.
Ron Bodkin explains what a tensor is and why you should care.
Abhijit Deshpande explains how to use machine learning to identify root causes of problems in minutes instead of hours.
Meihong Wang explains how Facebook thinks about personalization and how the company uses machine learning to provide personalized experiences.
Thomas Reardon offers an overview of brain-machine interface (BMI) technology and shares CTRL-Labs’s transformative and noninvasive neural interface approach.
George Church discusses the IARPA MICrONS project, which aims to revolutionize machine learning by reverse-engineering the algorithms of the brain.
Get hands-on training in artificial intelligence, Python, Java, blockchain, security, and many other topics.
Ben Lorica and Roger Chen discuss the state of reinforcement learning and automation.
Food production needs to double by 2050 to feed the world’s growing population. Jennifer Marsman details a solution that uses sensors in the soil, aerial imagery from drones, and machine learning.
Dan Mbanga explores how accelerating AI experimentation has influenced innovations such as Amazon Alexa, Prime Air, and Go.
Mary Beth Ainsworth offers an overview of SAS deep learning and computer vision capabilities that help map wildlife and scale conservation efforts around the world.
Watch highlights covering artificial intelligence, machine learning, automation, and more. From the Artificial Intelligence Conference in New York 2018.
Zoubin Ghahramani discusses recent advances in artificial intelligence, highlighting research in deep learning, probabilistic programming, Bayesian optimization, and AI for data science.
Fiaz Mohamed explains how Intel AI solves today’s business problems.
Kavya Kopparapu shares her inspiration for starting GirlsComputingLeague.
Fiaz Mohammed and Justin Herz discuss how artificial intelligence can improve content discovery and monetization
Manuela Veloso looks at the role humans can play in autonomy-based AI interactions and the underlying challenges to AI.
To create expertise, we need practice. And the practice must be meaningful, tightly coupled, and with sufficient quantity to develop confidence.
Harnessing DNS for traffic steering, load balancing, and intelligent response.
Free report: ROI doesn't work for L&D because it's a financial calculation, not a human one.
An introduction to how human senses can be incorporated into design principles.
We need to plan for what we can't see and design for a wide range of user scenarios to avoid bad outcomes.
How to create an injectable service that emits a stream of values, and a UI component that subscribes to this stream, displaying its values in real time.
Choose an Istio sidecar for reliability, observability, and security.
The O’Reilly Data Show Podcast: Jerry Overton on organizing data teams, agile experimentation, and the importance of ethics in data science.