Demystifying the dark web
You’ve probably heard the term “dark web,” but what does it actually mean?
You’ve probably heard the term “dark web,” but what does it actually mean?
Kaggle is more than a machine learning competition platform; it’s a facilitator for efficient problem solving and a community for sharing and learning.
Technical debt is often misunderstood, but it can impact almost every aspect of a tech stack.
Innovation has the power to change industries, but new technology doesn’t always mean you need a new business model.
As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use.
Security Mnemonics, Evidence Might Work, Misinformation Inoculation, and Spoofing Presidential Alerts
Roger Magoulas explains how O’Reilly’s Radar methodology identifies emerging tech trends businesses need to know.
To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce.
Ethics and OKRs, Rewriting Binaries, Diversity of Implementation, and Uber's Metrics Systems
Analog Deep Learning, Low-Trust Internet, Media Literacy, and Psych Experiments
Wacky Timestamps, Computers and Spies, Surveillance Capitalism, and Twitter Adventures
Private Computation, Robot Framework, 3D Objects, and Self-Supervised Learning
Model Governance, Content Moderators, Interactive Fiction, and End-User Probabilistic Programming
Voice2Face, DIY Minivac, Cloud Metrics, and Envoy for Mobile
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge.
JavaScript Spreadsheets, Pessimism, Privacy Policies, and AI Ethics
New technologies and changing user expectations demands a new vision for delivering software, says Adam Zimman.