Gain agility by loading first and transforming later.
Deep learning’s effectiveness is often attributed to the ability of neural networks to learn rich representations of data.
A glimpse into what lies ahead for response automation, model compliance, and repeatable experiments.
Learn about new architecture patterns, event-driven microservices, fast data, and more.
Best practices for quick remediation and response
The O’Reilly Programming Podcast: Building reactive applications.
What a design request should look like when you're talking to an external entity.
Learn how biohacking is unlocking human potential.
Optimize for business value with clear feedback loops and quality standards.
The media and ad tech sessions at the Strata Data Conference in San Jose will dig deep into how media businesses are changing.
How CapsNets can overcome some shortcomings of CNNs, including requiring less training data, preserving image details, and handling ambiguity.
Testing to prevent vulnerable open source libraries.
Publishers need to take responsibility for code they run on my systems.
A well-written user story allows product managers to clearly communicate to their Agile development teams.
Image recognition and machine learning for mar tech and ad tech.
The O’Reilly Data Show Podcast: Mark Hammond on applications of reinforcement learning to manufacturing and industrial automation.
Regardless of country or culture, any solid data science plan needs to address veracity, storage, analysis, and use.
Find out what's new in machine learning, network automation, security, and more.
Learn why performance, security, and accessibility are the pillars of web development and the O’Reilly Fluent Conference.
Using machine learning to understand and leverage text.
By packaging and delivering actionable data in applications, product managers can help users achieve their goals.
AI, Python, Java, blockchain, and cloud technologies are active topics on O’Reilly’s online learning platform.
The ability to appeal may be the most important part of a fair system, and it's one that isn't often discussed in data circles.
Fixing vulnerable open source packages.
Get hands-on training in machine learning, AI, Python, security, usability, and many more topics.
Designing application architectures for real-time decisions.
Learn skills in TensorFlow, Java, Spark, and more.
Streaming architectures for data sets that never end.
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.
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.
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.
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.
Understanding known vulnerabilities in open source packages.
Top five characteristics to consider when deciding which library to use.
Use cases and tips to help businesses take full advantage of AI technology.
From developers to CTOs, everyone has a role to play in shaping their own transformation.
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.
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.
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.