How to recruit for user research
Tools and techniques for recruiting UX research participants.
Ideas
What's on our radar.
Call for Code asks developers worldwide to collaborate on solutions to save lives
The O’Reilly Media Podcast: Daniel Krook, IBM developer advocate, on the Call for Code Global Initiative at IBM.
Four short links: 29 August 2018
Online Harassment, Deployment Software, Text to Commandline, and RL Prototyping
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Prototyping in practice
How the UK's NHS uses prototyping to explore and illustrate new technological possibilities.
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Sea change: What happens when Jupyter becomes pervasive at a university?
Fernando Perez talks about UC Berkeley's transition into an environment where many undergraduates use Jupyter and the open data ecosystem as naturally as they use email.
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Beyond interactive: Scaling impact with notebooks at Netflix
Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future.
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Democratizing data
Tracy Teal explains how to bring people to data and empower them to address their questions.
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The future of data-driven discovery in the cloud
Ryan Abernathey makes the case for the large-scale migration of scientific data and research to the cloud.
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Disease prediction using the world's largest clinical lab data set
Cristian Capdevila explains how Prognos is predicting disease.
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Jupyter notebooks and the intersection of data science and data engineering
David Schaaf explains how data science and data engineering can work together to deliver results to decision makers.
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Data science as a catalyst for scientific discovery
Michelle Gill discusses how data science methods and tools can link information from different scientific fields and accelerate discovery.
Highlights from JupyterCon in New York 2018
Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018.
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Jupyter in the enterprise
Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem.
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Why contribute to open source?
Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem.
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Jupyter trends in 2018
Paco Nathan shares a few unexpected things that emerged in Jupyter in 2018.
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Machine learning and AI technologies and platforms at AWS
Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS.
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Sustaining wonder: Jupyter and the knowledge commons
Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others.
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All the cool kids are doing it, maybe we should too? Jupyter, gravitational waves, and the LIGO and Virgo Scientific Collaborations
Will Farr offers lessons about the many advantages and few disadvantages of using Jupyter for global scientific collaborations.
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The reporter’s notebook
Mark Hansen explains how computation has forever changed the practice of journalism.
5 automation trends in software development, quantified
Lessons from hundreds of development practice assessments across the industry.
Design patterns for orchestrating collaborative groups
It’s only when you enable people to “do things” together that the real power of online social networks is unleashed.
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Great products begin with great cultures
Why hiring a team diverse in perspective and background leads to a great culture.
Enabling reliable, secure collaboration on data science and machine learning projects
A conversation with Paul Taylor, chief architect in Watson Data and AI, and IBM fellow.
The next generation of AI assistants in enterprise
Chatbots are just the first step in the journey to achieve true AI assistants and autonomous organizations.
Simplifying machine learning lifecycle management
The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production.
It's time to establish big data standards
The deployment of big data tools is being held back by the lack of standards in a number of growth areas.
Site reliability engineering (SRE): A simple overview
Get a basic understanding of site reliability engineering (SRE) and then go deeper with recommended resources.
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Best practices to achieve balance between design and performance
Ways to bring designers and developers together to optimize user experience.
Notes from the first Ray meetup
Ray is beginning to be used to power large-scale, real-time AI applications.
What do computers see?
Tricks to visualize and understand how neural networks see.
3 promising areas for AI skills development
O'Reilly survey results and usage data reveal growing trends and topics in artificial intelligence.
A quick reminder on HTTPS everywhere
HTTPS "everywhere" means everywhere—not just the login page, or the page where you accept donations. Everything.
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3 core principles of design thinking
How design thinking works, and how it integrates with product development.
Skydeck turns research into reality
UC Berkeley’s startup accelerator takes university research discoveries and helps translate them into marketable products.
Collaborative design fuels shared understanding—the fundamental currency of Lean UX
Lean UX begins with the idea that user experience design should be a collaborative process.
Why we need to think differently about AI
General intelligence or creativity can only be properly imagined if we peel away the layers of abstractions.
5 findings from O'Reilly's machine learning adoption survey companies should know
New survey results highlight the ways organizations are handling machine learning's move to the mainstream.
Case studies in data ethics
These studies provide a foundation for discussing ethical issues so we can better integrate data ethics in real life.
5 things you should be monitoring
Achieve high-impact systems monitoring by focusing on latency, errors, throughput, utilization, and blackbox monitoring.
10 practical talks you won’t want to miss at the O’Reilly Velocity Conference in New York 2018
Get advice and insight from speakers who have tackled the challenges you face.
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4 steps for creating design principles
Principles help you align your team quickly around a shared set of product guidelines.
How privacy-preserving techniques can lead to more robust machine learning models
The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning.
4 personal and tool-based methods for creating strong feedback loops
Practical examples of how to integrate personal and tool-based feedback into your code review process.
How to design bot conversations
Tools to fine-tune the wording, formatting, and other aspects of conversation to render rich interactions.
The future of data storage lies in the foundation of biology
DNA holds the key to storing vast amounts of digital data
120+ live online training courses opened for August and September
Get hands-on training in blockchain, machine learning, Python, Java, management, and many other topics.
Data's day of reckoning
We can build a future we want to live in, or we can build a nightmare. The choice is up to us.
How companies can get started with AI
The program for our Artificial Intelligence Conference in London is structured to help companies that are still very much in the early stages of AI adoption.
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How information architecture facilitates information finding
Strategies for assisting users in their journey to find information.
9 critical tools for designing a product
Product design is not a linear process. It’s a set of tools.
The five Cs
Five framing guidelines to help you think about building data products.
How to take machine learning from exploration to implementation
Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations.
Be smart with responsive web design
By being intentional and deliberate in your approach, you can build an excellent user experience that performs well regardless of screen size.
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The importance of community
Patricia Posey draws on her non-traditional journey into tech to illustrate how honest investments can build a sustainable community that is integral to the advancement of its members.
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Building with open source at the world’s largest home improvement retailer
Angie Brown explains how Home Depot uses open source in its stores, online search, order management, analytics, and more.
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O'Reilly Open Source Awards 2018
The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software.
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Better health insights by unlocking data
Mahdi Yusuf discusses new ways to unlock potential from the data you generate with smart health devices.
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Open source opens doors for vets
Jerome Hardaway explains how Vets Who Code uses open source to create job opportunities for veterans.
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Open sourcing quantum: Get ready to help build a new future
Jay Gambetta explores Qiskit, an open-source framework that aims to make quantum computing accessible for everyone.
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20 years later, open source is as important as ever
Sarah Novotny outlines two reasons why open source continues to be important: choice and infrastructure.
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O’Reilly Radar: Open source tool trends—What our users tell us
Roger Magoulas shares insights about the open source tools ecosystem based on analysis of usage and search data from O'Reilly's learning platform.
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How to use goals to improve a product’s UX
Measuring each stage of the user journey allows you to measure conversions and improve user experience.
Specialized hardware for deep learning will unleash innovation
The O’Reilly Data Show Podcast: Andrew Feldman on why deep learning is ushering a golden age for compute architecture.