Security Policy, Censored 3D Printers, Standup Tips, and Auto-Banning
A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
Comcast’s system of storing schemas and metadata enables data scientists to find, understand, and join data of interest.
In the software world, we’re often ignorant of the harms we do because we don’t understand what we’re working with.
Jody Medich takes a look at our rapidly dematerializing world.
The 80+ sessions covering web performance, security, and accessibility at Fluent 2018 won’t make building for the web easy, but they’ll definitely make it easier.
Incident Response, Google VPN, Deep Learning, and Neural Network Quine
Systems and site reliability engineers, architects, and application developers must create new strategies to meet industry shifts and their constraints.
Magic Leap, Autonomous Death, Computational Cognitive Neuroscience, and Analysis of Competing Hypotheses
ML Reproducibility, Data Research, Blockchain IP Crimes, and PLATO Flashback
Longevity, Partner Violence, Leaking Secrets, and Fallacy of Objective Measurement
User experience designers have an opportunity to empower people to take control of their privacy.
The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning.
Traffic Attacks, VR/AR Audio, Travel Bot, and Location Codes
Utilizing machine intelligence to facilitate proactive cybersecurity operations.
Flow Diagrams, Multiplayer Editing, Inductive Programming, and Manipulating Data
The AI Conference in NY will feature tutorials, conference sessions, and executive briefings to help business leaders understand and plan for AI technologies.
El Paquete, Ingenious Malware, Region Evacuation, and Deck Template
Health Care, Learning Coding, Reverse-Engineering Sandbox, and Secret Management
Truth vs. Falsehoods, Shitizen Science, Open Source Guides, and The Great Slate
Anoop Dawar shares principles successful companies are using to inspire an insight-driven ethos and build data-competent organizations.
Ajey Gore explains why GO-JEK is focusing its attention beyond urban Indonesia to help people across the country’s rural areas.
Eric Colson explains why companies must now think very differently about the role and placement of data science in organizations.
William Vambenepe walks through an interesting use case of machine learning in action and discusses the central role AI will play in big data analysis moving forward.
Seth Stephens-Davidowitz explains how to use Google searches to uncover behaviors or attitudes that may be hidden from traditional surveys.
Using silly data sets as examples, Janelle Shane talks about ways that algorithms fail.
A look at UX challenges in designing predictive machine learning devices and services.
The O’Reilly Programming Podcast: Containers, orchestrators, and new projects.
Why stateful services are an important part of the future of containers and microservices in the enterprise.
How to find promising candidates for upskilling within your organization.
CSS Quirks, Knitting Meshes, Hardware is Hard, and Invisible Systems
This collection of DevOps resources will get you up to speed on the basics, best practices, and latest techniques.
Dinesh Nirmal explains how real-world machine learning reveals assumptions embedded in business processes that cause expensive misunderstandings.
Tobias Ternstrom explains why you should objectively evaluate the problem you're trying to solve before choosing the tool to fix it.
Alex Smola shares lessons learned from AWS SageMaker, an integrated framework for handling all stages of analysis.
Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018.
Nancy Lublin and Bob Filbin explore findings from crisis data.
Ben Lorica explores emerging security best practices for business intelligence, machine learning, and mobile computing products.
Li Fan shows how Pinterest is using AI to predict what’s in an image, what a user wants, and what they’ll want next.
Natalie Evans Harris discusses the Community Principles on Ethical Data Practices (CPEDP), a code of ethics for data collection, sharing, and utilization.
Build a more scalable, composable, and functional architecture for interconnecting systems and applications.
Why we're taking the AI Conference to Beijing.
The top 5 ways to immerse yourself in deep learning and MXNet.
Continuous Delivery, Diagram Editor, Robot Algorithms, and Twitter Linguistics
Get instructor-led training in Python, Go, React, Agile, data science, and many other topics.
The O’Reilly Data Show Podcast: Ofer Ronen on the current state of chatbots.
Demanding Better, Management Expectations, HR Robots, and Voice Cloning
A product manager's guide to employing data as a feature.
New tools help organizations give learners what they need, when they need it.
Leveraging the potential of AI to gain maximum ROI.
Face Recognition, HR and Automation, Sustainable Software Development, and Interaction Analysis
Sentence Space, SQL Parser, AMP Considered Harmful, and CD over Kubernetes
The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized.
How to bring sustainability principles to the process of design.
Forensic Fantasies, Virtual Citizenship, Concurrent Programming, and Image Editor
Get a basic overview of microservices and then go deeper with recommended resources.
Kevin Stewart explores the people, processes, and cultural aspects that complement the cloud-native computing stack.
Andrew Hately says enterprises must adopt a collaborative culture to truly exploit continuous-deployment workflows.
Adrian Cockcroft outlines the architectural principles of chaos engineering and shares methods engineers can use to exercise failure modes in safety and business-critical systems
A look at the stages of designing an API and service.