Sukiyaki in French style, brick-and-mortar conversion tracking, route-based pricing, and technological productivity.
Service Availability, Data Share, Eventual Consistency Explained, and Reproducible Deep Learning
How to use Apache Spark’s Resilient Distributed Dataset (RDD) API.
Grace Huang shares lessons learned from running and interpreting machine-learning experiments.
Tim O’Reilly delves into past technological transitions, speculates on the possibilities of AI, and looks at what's keeping us from making the right choices to govern our creations.
Aida Mehonic explores the role artificial intelligent might play in the financial world.
Eddie Copeland explores how the London Office of Data Analytics overcame the barriers to joining, analyzing, and acting upon public sector data at city scale.
Ziya Ma outlines the challenges for applying machine learning and deep learning at scale and shares solutions that Intel has enabled for customers and partners.
The O’Reilly Data Show Podcast: Jeremy Stanley on hiring and leading machine learning engineers to build world-class data products.
The O’Reilly Design Podcast: What makes healthy teams healthy, being customer obsessed, and design and research at Microsoft.
Project Jupyter co-founder Brian Granger on the JupyterLab project, its potential role in scientific and tech communities, and the expanding role of notebooks.
The O’Reilly Bots Podcast: The technical and social dynamics of solving scheduling problems.
Crypto vs. Regulation, Crippling Genomic Research, There Are Bots, and Web Security
Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used.
M. C. Srivas covers Uber's big data architecture and explores the real-time problems Uber needs to solve to make ride sharing smooth.
Aurélie Pols draws a broad philosophical picture of the data ecosystem and then hones in on the right to data portability.
Darren Strange asks: What part will we each play in what is sure to be one of the most exciting times in computer science?
Miriam Redi investigates how machine learning can detect subjective properties of images and videos, such as beauty, creativity, and sentiment.
Using the music industry as an example, Paul Brook shows how modern information points bring new data that changes the way an organization will make decisions.
Watch highlights covering data-driven business, data engineering, machine learning, and more. From Strata Data Conference in London 2017.
Learn what it takes to make the most of your design team.
The O’Reilly Security Podcast: How adversarial posture affects decision-making, how decision trees can build more dynamic defenses, and the imperative role of UX in security.
Travel Mode, Justice Data, Threat Dragon, and Voice Editing
Five questions for Gwen Shapira about how Kafka can enable business agility.
Level up your skills set before diving into React.
TensorFlow Cookbook, Welcoming Newcomers, Patent Win, and Face Classification
TensorFlow cookbook materials, source notebooks, Python lectures, and Software Carpentry.
Meta Tutorial, Network Game, Indigenous VR, and Facebook Moderation
AutoML, AI photo editing, AI product studio, and Apple and dark data.
Algorithmic Fallibility, AI Sketches, Traffic Obfuscation, and Engineer-Manager Pendulum
Expanding the blue team by building a security culture program.
How companies are providing native experiences in their mobile apps.
Cindy Alvarez outlines the components of a hypothesis and shares examples of successful and unsuccessful hypotheses.
Rana el Kaliouby discusses the techniques, possibilities, and challenges around emotion AI today.
The O’Reilly Programming Podcast: Applying the latest language features to build video games and containerized microservices.
Checking Fact-Checkers, Simpler Java, JSON Feed, and Street-Fighting Mathematics
Five questions for Laura Frank about orchestration, security, and beyond.
Learn how to build both web and traditional application programming interfaces (APIs).
Learn the basics of application programming interfaces (APIs), their purpose, and the key concepts underlying the technology.
Learn how to use different types of application programming interfaces (APIs).
Elm’s static typing and compiler error messages lead to more productivity.
Teresa Tung on building a business case for the Internet of Things.
Shipping Apps, Cloud Economics, Computational Theory, and Imitation Learning
Integration tools and vision systems represent two developments in enterprise AR that point to bigger things to come.
Flash Organizations, Collaboration Data Set, De-Anonymizing Mobile Data, and Hacking Economics
Bas Geerdink details the technology stack for real-time account forecasting at ING, and outlines how Spark is used for outbound communications.
Access to critical data in real time enables workers to generate insights from large amounts of information.
Learn how to use Gradle, a popular build tool for Java developers, to package your Java application as a Docker image and run as a Docker container.
Learn how to use Apache Maven, a project management and comprehension tool, to package your Java application as a Docker image and run as a Docker container.
Learn how to use Docker to distribute multi-container applications into a standardized unit for seamless software development.
This two-day live online training covers JPMS, a tool Paul Deitel calls “the most significant new Java software-engineering technology since the inception of Java.”
TSFRESH, 100 days of algorithms, how JupyterHub tamed big science, colorizing photos.
Formal Systems, Deep Learning, Assembly Games, and Logs vs. Metrics
Five Questions for Sebastien Goasguen about Kubernetes and the cloud native tools that support it.
Medical ImageNet, NVIDIA GTC, corporate responsibility in tech, online pricing
O’Reilly’s assessment tool puts the focus on the learner, not arbitrary scores.
User stories help track goals, user needs, and project timeframes to deliver valuable software quickly.
Amazons Competes with Investment, Answering Questions, Designing for Survivors, and Open Source Support
Stephanie Hurlburt explains why an open ecosystem is essential for the survival of virtual reality.
Saron Yitbarek explores examples of technical projects in education, health, and grassroots political activism that moved too fast.