Fixing vulnerable open source packages.
Podcast Data, Data Stories, Distributed Systems, and Tech Future Scenarios
Designing application architectures for real-time decisions.
Dangerous Data, Data Linter, Participatory Budgeting, and Security Wargames
Bitcoin, Ted Nelson, Constraint Modeling, and NLP
Learn skills in TensorFlow, Java, Spark, and more.
Streaming architectures for data sets that never end.
Young Developers Coding Later, Algorithmic Fairness, Google Goss, and Deep Learned Folk Music
Facilitating data exchange across the enterprise.
Experience mapping helps organizations see themselves from the outside in, rather than the inside out.
The O’Reilly Programming Podcast: The Java module system and the “start of a new era.”
The classic “write once, run everywhere” principle comes to life in streaming data.
A Start-to-finish example with Angular and Typescript.
Finding anomalies in time series using neural networks.
TensorFlow Lite enriches the mobile experience.
When and how to test your application for open source vulnerabilities.
Exploring many small regions of a graph with low latency using specialized graph and multi-model databases.
We need a new model for how AI systems and humans interact.
Corporate Surveillance, Crowds and Decisions, Crawling Robot Infant, and Personal Data Representatives
Find out what's new in iOS, data visualization, service design, and more.
RISE Lab’s Ray platform adds libraries for reinforcement learning and hyperparameter tuning.
Pricing, Windows Emulation, Toxic Tech Culture, and AI Futures
How design thinking supports delivering product.
Though they are typically applied to vision problems, convolution neural networks can be very effective for some language tasks.
The O’Reilly Data Show Podcast: Fabian Yamaguchi on the potential of using large-scale analytics on graph representations of code.
Secure Software, Delta Robots, Authenticating Reverse Proxy, and Public Domain is Back
Explore the factors that make up a reactive microservice.
It’s time to think about how the systems we build interact with our world and build systems that make our world a better place.
How to use AI as a tool in your business.
The sessions and training courses at Strata Data San Jose 2018 will focus on practical use cases of machine learning for data scientists, engineers, managers, and executives.
Surprise Transmissions, Sam Altman, Video Conferencing, and Microservice Hosting
Understanding known vulnerabilities in open source packages.
Top five characteristics to consider when deciding which library to use.
Forgetful Google, Machine Comprehension, Music from Space-Filling Curves, and Reading Papers
Use cases and tips to help businesses take full advantage of AI technology.
Computational vs. Inferential Science, Cost of AI Policy Solutions, Google Brain in 2017, and Lego Worms
From developers to CTOs, everyone has a role to play in shaping their own transformation.
Sharing Concepts, Augment Engineers, AI for Good, and AI to Spot Lies
The most important things you can do as a leader of your team.
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
The O’Reilly Programming Podcast: A look at some of Python’s valuable, but often overlooked, features.
How to build a multilayered LSTM network to infer stock market sentiment from social conversation using TensorFlow.
Data from PDFs, Unencumbered Media, Unintended Consequences, and AMP Protested
Discover what design patterns are and how they can be used to communicate solutions to common problems.
Artificial intelligence, cloud technologies, and blockchain are big growth areas on O’Reilly’s learning platform.
How to decouple your Java code using a mix of dependency injection, encapsulation, and services.
Attention Arms Race, Robot/AI Principles, GDPR vs. Ad Tech, and Meltdown Code
Power With AI, FocusWriter, PC Fonts, and Community Management
From methods to tools to ethics, Ben Lorica looks at what's in store for artificial intelligence.
Learn about architectural safety measures, scaling data, caching schemes, service discovery, and more.
Experts weigh in on what we can expect from AI in 2018.
Old Unix, Differentiable Programming, Systems Change, and Resilience
Tim O'Reilly reflects on the stories from 2017 that played out after he finished writing his new book.
How edge networks, Kubernetes, serverless and other trends will shape systems engineering and operations.
Intolerable Speech Rule, Deep Learning, C++ in Jupyter, and Complexity+Game Theory+Economics
The O’Reilly Data Show Podcast: Kris Hammond on business applications of AI technologies and educating future AI specialists.
Progressive web apps, offline-first development, customer experience, and other web trends to watch.
Formats, linking, and versioning are important in well-formed RESTful APIs.