AI Is a Lie [video]

Eric Jonas on AI hype and questions of ethics. | Continue reading


@oreilly.com | 2 days ago

The Linux Programming Interface

The Linux Programming Interface is the definitive guide to the Linux and UNIX programming interface—the interface employed by nearly every application that runs on a Linux or UNIX system. In … - Selection from The Linux Programming Interface [Book] | Continue reading


@oreilly.com | 3 days ago

Due to the fires and power outages in California, oreilly.com is unavailable

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@oreilly.com | 19 days ago

Due to the fires and power outages in California, oreilly.com is unavailable

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@oreilly.com | 20 days ago

How social forces could drive blockchain demand

In this moment of increasing discontent, we’re entering the dawn of the blockchain era. | Continue reading


@oreilly.com | 25 days ago

Checking in on TensorFlow 2.0

Paige Bailey, TensorFlow product manager at Google, highlights notable features of TensorFlow 2.0 and looks ahead to near-term updates. | Continue reading


@oreilly.com | 1 month ago

Angular for Enterprise DevelopmenT

Enterprises looking to build robust, reliable, and performant applications are increasingly turning to Angular, a cross-platform solution for building mobile, desktop, and web apps. In this instructive guide, Lukas Ruebbelke ... - Selection from Why Angular for Enterprise Develo … | Continue reading


@oreilly.com | 2 months ago

Learning from Adversaries

Adversarial images aren’t a problem—they’re an opportunity to explore new ways of interacting with AI. | Continue reading


@oreilly.com | 3 months ago

I Wrote a Book on TypeScript

Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. That’s why Facebook, Google ... - Selection from Programming TypeScript [Book] | Continue reading


@oreilly.com | 3 months ago

Marshall Kirk McKusick – Twenty Years of Berkeley Unix

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@oreilly.com | 3 months ago

New Release: Programming TypeScript Book (2019)

Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. That’s why Facebook, Google ... - Selection from Programming TypeScript [Book] | Continue reading


@oreilly.com | 4 months ago

Strengthening Deep Neural Networks Against Adversarial Examples

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector ... - Selection from Strengthening Deep Neural Networks [Book] | Continue reading


@oreilly.com | 4 months ago

The quest for high-quality data

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. | Continue reading


@oreilly.com | 4 months ago

How to get started with site reliability engineering [audio]

Google SRE Stephen Thorne shares best practices for starting an SRE team at your company. | Continue reading


@oreilly.com | 5 months ago

Unix Text Processing

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@oreilly.com | 5 months ago

Making Facebook a scapegoat is a mistake

Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems. | Continue reading


@oreilly.com | 6 months ago

Toward the next generation of programming tools

Programmers have built great tools for others. It’s time they built some for themselves. | Continue reading


@oreilly.com | 6 months ago

DRM Helmets: An Idea Whose Time Has Come (2002)

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@oreilly.com | 6 months ago

The Traits of a Proficient Programmer

Bridging the gap between competence and proficiency | Continue reading


@oreilly.com | 6 months ago

Automated ML: A Journey from Crispr.ml to Azure ML

Danielle Dean explains how cloud, data, and AI came together to help build Automated ML. | Continue reading


@oreilly.com | 6 months ago

Machine Learning for Personalization

Tony Jebara explains how Netflix is personalizing and optimizing the images shown to subscribers. | Continue reading


@oreilly.com | 6 months ago

Algorithmic Trading in Less Than 100 Lines of Python Code

If you're familiar with financial trading and know Python, you can get started with basic algorithmic trading in no time. | Continue reading


@oreilly.com | 7 months ago

Ghosts in the Machines

The secret to successful infrastructure automation is people. | Continue reading


@oreilly.com | 7 months ago

Modules vs. Microservices

Apply modular system design principles while avoiding the operational complexity of microservices. | Continue reading


@oreilly.com | 7 months ago

Things Every Programmer Should Know

Tap into the wisdom of experts to learn what every programmer should know, no matter what language you use. With the 97 short and extremely useful tips for programmers in ... - Selection from 97 Things Every Programmer Should Know [Book] | Continue reading


@oreilly.com | 7 months ago

Forecasting Uncertainty at Airbnb

Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. | Continue reading


@oreilly.com | 7 months ago

The fundamental problem with Silicon Valley’s favorite growth strategy

Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers. | Continue reading


@oreilly.com | 8 months ago

Reinforcement learning for the birds

Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too. | Continue reading


@oreilly.com | 9 months ago

Fast Data Architectures for Streaming Applications

Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In this report, author Dean Wampler examines the rise of streaming ... - Selection from Fast Data Architectures for Streaming Applications [Book] | Continue reading


@oreilly.com | 9 months ago

Data modeling with multi-model databases (2017)

A case study for mixing different data models within the same data store. | Continue reading


@oreilly.com | 9 months ago

Gradually, then suddenly

Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts. | Continue reading


@oreilly.com | 10 months ago

A short history of the O'Reilly animals: How lions, tigers, tarsiers went geek

How lions, tigers, and tarsiers went geek. | Continue reading


@oreilly.com | 10 months ago

Why Rust?

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@oreilly.com | 10 months ago

Software Architecture Patterns – Free Ebook

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@oreilly.com | 10 months ago

Optimizing Java – Companion Videos to the Book

With any comprehensive, large-scale programming language, if you’re not careful during your development processes, you can end up with a bloated, poorly performing application. This course examines techniques and ... - Selection from Optimizing Java [Video] | Continue reading


@oreilly.com | 11 months ago

Diligence, Patience, and Humility – Larry Wall

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@oreilly.com | 1 year ago

Adapting ideas from neuroscience for AI

Inspiration from the brain is extremely relevant to AI; it’s time we pushed it further. | Continue reading


@oreilly.com | 1 year ago

How Architecture evolves into strategy

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. | Continue reading


@oreilly.com | 1 year ago

Regular Expressions for Tokenizing Text

Regular Expressions for Tokenizing Text Tokenization is the task of cutting a string into identifiable linguistic units that constitute a piece of language data. Although it is a fundamental task ... - Selection from Natural Language Processing with Python [Book] | Continue reading


@oreilly.com | 1 year ago

How to create products people want

How to observe what your customers are already doing and turn those habits into the basis for product ideas. | Continue reading


@oreilly.com | 1 year ago

The missing piece – why businesses fail at machine learning

Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement. | Continue reading


@oreilly.com | 1 year ago

Shaping the stories that rule our economy

The economy we want to build must recognize increasing the value to and for humans as the goal. | Continue reading


@oreilly.com | 1 year ago

Practical ML today and tomorrow

Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML. | Continue reading


@oreilly.com | 1 year ago

Machine learning and AI technologies and platforms at AWS

Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS. | Continue reading


@oreilly.com | 1 year ago

Jupyter trends in 2018

Paco Nathan shares a few unexpected things that emerged in Jupyter in 2018. | Continue reading


@oreilly.com | 1 year ago

How to ship production-grade Go

Five must-haves for robust, debuggable production code. | Continue reading


@oreilly.com | 1 year ago

Site reliability engineering (SRE): A simple overview – O'Reilly Media

Get a basic understanding of site reliability engineering (SRE) and then go deeper with recommended resources. | Continue reading


@oreilly.com | 1 year ago

Tricks to visualize and understand how neural networks see

Tricks to visualize and understand how neural networks see. | Continue reading


@oreilly.com | 1 year ago