Malicious AI, Due Diligence, Power Laws, and Automated Threats
The O’Reilly Programming Podcast: Creating and implementing continuous delivery pipelines.
Fast Style Transfer, Categorizing Social Media Messages, Finding Secrets, and Misleading Images
Master the elements of graphic storytelling to better communicate your visions to stakeholders.
A step-by-step tutorial to develop an RNN that predicts the probability of a word or character given the previous word or character.
Fonts for Viz, Map AWS Resources, Technological Unemployment, and Design for Humans
Optimizing your NGINX setup with a tuned ModSecurity / Core Rule Set installation.
Ingest the data you need in an agile manner.
How to find the best Software Composition Analysis (SCA) for your organization
House Simulations, XLS diff, Apache FaaS, and Opening Closed Code
Disambiguation, Learning to Code, Open Source BI, and API Hierarchy
A step-by-step tutorial to build generative models through generative adversarial networks (GANs) to generate a new image from existing images.
Machine Design, Metrics, Layered Learning, and Automatically Mergeable Data Structure
The O’Reilly Data Show Podcast: Leo Meyerovich on building large-scale, interactive applications that enable visual investigations.
Donut Drones, Consensus Algorithms, 2FA Spam, and Replacing Founders
Alysa Hutnik discusses the Fair Credit Reporting Act, the Equal Credit Opportunity Act, the Gramm-Leach Bliley Act, and the FTC’s focus on FinTech.
A step-by-step tutorial on how to use TensorFlow to build a multi-layered convolutional network.
How companies such as athenahealth can transform legacy data into insights.
CS Ethics, Experience the Retail Struggle, Front-End Interview Handbook, and Label Shift
Get instructor-led training in Python, React, PMP, security, and more.
Learn how to integrate voice with your product.
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.
Machine Learning, CSP Reporting, Remembering Learning, and Viz for Human Rights
A glimpse into what lies ahead for response automation, model compliance, and repeatable experiments.
Best practices for quick remediation and response
Learn about new architecture patterns, event-driven microservices, fast data, and more.
Tech vs. Culture, Fairness and Accountability, People Typeface, and Reproducibility Suite
Small GUI, Dangerous URLs, Face-Recognition Glasses, and The Future is Hard
The O’Reilly Programming Podcast: Building reactive applications.
What a design request should look like when you're talking to an external entity.
Data for Problems, Quantum Algorithms, Network Transparency, and AI + Humans
Learn how biohacking is unlocking human potential.
Identity Advice, Customer Feedback, Fun Toy, and Reproducibility Resources
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.
Mine Research, Fight for Attention, AI Metaphors, and Research Browser Extensions
Testing to prevent vulnerable open source libraries.
Publishers need to take responsibility for code they run on my systems.
Company Principles, DeepFake, AGI, and Missing Devices
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.
Tor + Bitcoin = De-anonymization, Classic Papers, 3D Holograms, and Big Data Privacy
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.
Fairness, Typesetting, Anomalies, and Faking Out Speech Recognition
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.
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