Learn how to manipulate smartphone behavior with common hyperlinks.
An overview of commercial and industrial applications of reinforcement learning.
Machine Teaching, Accuracy Trumps Bias, Fairness in ML, and Quantum Game
A unified methodology for scheduling workflows, managing data, and offloading to GPUs.
The O’Reilly Programming Podcast: The impact of ARKit on developers and consumers.
Since AI's most amazing advances have been in playing games, it seems fitting that the creative challenge should involve creating games.
Common pitfalls, and an approach to narrow down the most meaningful metrics.
Decoding simple regex features to match complex text patterns.
Every line of business must have access to the digital tools needed to innovate at the edge.
A simple framework for implementing message-based, user-initiated CRUD operations.
Tony Lee outlines the unique big data and AI challenges JD.com is tackling.
Kira Radinsky describes a system that mines medical records and Wikipedia to reduce spurious correlations and provide guidance about drug repurposing.
Pascale Fung explains how emotional interaction is being integrated into machines.
Watch highlights covering machine learning, smart cities, automation, and more. From Strata Data Conference in Singapore 2017.
Carme Artigas asks: Are innovations like autonomous vehicles and flying drones making our societies more intelligent?
Ajey Gore looks at how the impossible can be made possible with technology and data insights.
Amr Awadallah explains the historic importance of the next wave in automation.
The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement.
A look at the rise of the deep learning library PyTorch and simultaneous advancements in recommender systems.
For stack scalability, elasticity at the business logic layer should be matched with elasticity at the caching layer.
Thoughts on "We are the people they warned you about."
Without the proper cataloging, curation, and security that self-service data platforms allow, companies are left vulnerable to cybersecurity threats and misinformation.
Melanie Johnston-Hollitt discusses a radio telescope project that will produce data on a scale that dwarfs most big data efforts.
Felipe Hoffa says data-based conclusions are possible when stakeholders can easily analyze all relevant data.
Ben Lorica explains how to guard against flaws and failures in your machine learning deployments.
Cesar Delgado joins Mick Hollison to discuss how Apple is using its big data stack and expertise to solve non-data problems.
Bruno Fernandez-Ruiz discusses the tradeoffs we make to ensure safer transportation.
Steve Leonard explores how Singapore is bringing together ambitious and capable people to build technology that can solve the world’s toughest challenges.
Joshua Bloom explains why the real revolution will happen—in improved and saved lives—when machine learning automation is coupled with industrial data.
Learn how the Defense Advanced Research Projects Agency (DARPA) has spurred significant advances in the promising field of synthetic biology.
The O’Reilly Security Podcast: The objectives of agile application security and the vital need for organizations to build functional security culture.
Using the keras TensorFlow abstraction library, the method is simple, easy to implement, and often produces surprisingly good results.
Find out how to get your voice heard and bring a positive impact to a receptive audience.
Lessons learned from building engineering teams under pressure.
The O’Reilly Programming Podcast: Wrangling data with Python’s libraries and packages.
New technology is allowing doctors to diagnose and treat heart disease faster and more efficiently.
Scale changes the problems of privacy, security, and honesty in fundamental ways.
The O’Reilly Media Podcast: Gayle Sheppard, Saffron AI Group at Intel, and David Thomas, Bank of New Zealand.
Mark Richards explores two basic techniques for analyzing tradeoffs of architecture characteristics.
O’Reilly Media Podcast: David Hsieh, of Qubole, in conversation with John Slocum, of MediaMath.
A survey of usage, access methods, projects, and skills.
Neal Ford explains the ground rules for building software architectures.
Using analytics to improve your product doesn’t have to be complicated.
The O’Reilly Data Show Podcast: Neha Narkhede on data integration, microservices, and Kafka’s roadmap.
The O’Reilly Security Podcast: Aligning security objectives with business objectives, and how to approach evaluation and development of a security program.
Several new apps are making it easier for doctors and patients to conduct clinical trials.
Learn how NATS requests work and how to use the context package for cancellation.
Analytical frameworks come with an entire ecosystem.
How messages help you decouple, test, and re-use your software’s code.
The O’Reilly Programming Podcast: The skills needed to make the move from developer to architect.
Service virtualization brings a lightweight, automatable means of simulating external dependencies.
Learn how the NATS client implements fast publishing and messages processing schemes viable for production use.
How user-centered design focused on user needs and delivery can bring about real change and still be respected in the boardroom.
Structured bindings, new library types, and containers add efficiency and readability to your code.
Drawing parallels and distinctions around neural networks, data sets, and hardware.
The O’Reilly Data Show Podcast: David Talby on a new NLP library for Spark, and why model development starts after a model gets deployed to production.
Learn what makes for a rich emotional experience and why, even if we make our technology invisible, the connection will still be emotional.
Analyzing tweets and posts around Trump, Russia, and the NFL using information entropy, network analysis, and community detection algorithms.
Learn useful Go communication techniques from the internals of the NATS client.
CGMs are unique in the way consumers have taken it upon themselves to create modifications to medical devices.
The O’Reilly Security Podcast: Recruiting and building future open source maintainers, how speed and security aren’t mutually exclusive, and identifying and defining first principles for security.
Reduce troubleshooting time from days to seconds.
The architectural design, automated quality assurance, and deployment skills needed for delivering continuous software.