Editing our world: CRISPR and the future of genomics

The basic technology behind gene editing and a conversation between Jennifer Doudna and Siddhartha Mukherjee. | Continue reading


@oreilly.com | 5 years ago

What machine learning means for software engineers

“Human in the loop” software development will be a big part of the future. | Continue reading


@oreilly.com | 5 years ago

How to design a product at a startup

It's all about building an MVP. | Continue reading


@oreilly.com | 5 years ago

How to decide what product to build

Techniques for defining a product and building and managing a team. | Continue reading


@oreilly.com | 5 years ago

The Blockchain Beyond Bitcoin – O'Reilly Media

Taking blockchain technology private for the enterprise. | Continue reading


@oreilly.com | 5 years ago

Free Ebook – Kubernetes for Java Developers [pdf]

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@oreilly.com | 5 years ago

Microservices, events and upside-down databases

The benefits of modeling data as events as a mechanism to evolve our software systems. | Continue reading


@oreilly.com | 5 years ago

The Emacs Commune

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@oreilly.com | 5 years ago

The two-sided coin of web performance

Hacking performance across your organization. | Continue reading


@oreilly.com | 5 years ago

Lessons learned turning machine learning models into real products and services

Why model development does not equal software development. | Continue reading


@oreilly.com | 5 years ago

Machine learning: Research and industry

Having worked in both research and industry, Mikio Braun shares insights into what's the same, what's different, and how deep learning might change the game. | Continue reading


@oreilly.com | 5 years ago

How will the GDPR affect machine learning

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@oreilly.com | 5 years ago

How will the GDPR impact machine learning?

Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs. | Continue reading


@oreilly.com | 5 years ago

Cory Doctorow on the fight for a configurable and free internet

It’s time to sort the sheep from the goats, or the willing from the unwilling. | Continue reading


@oreilly.com | 5 years ago

Blockchain applications

Don’t pigeonhole blockchain as a technology that’s primarily useful for finance. | Continue reading


@oreilly.com | 5 years ago

Kubernetes and containers for enterprise developers

O’Reilly Media Podcast: JP Phillips, platform engineer at IBM Cloud, on problem solving with containers and Kubernetes, and how developers can get started. | Continue reading


@oreilly.com | 5 years ago

The Intertwingularity is near: When humans transcend print media

Both reproducible science and open source are necessary for collaboration at scale—the nexus for that intermingling is Jupyter. | Continue reading


@oreilly.com | 5 years ago

Data engineers vs. data scientists

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. | Continue reading


@oreilly.com | 5 years ago

Build a super fast deep learning machine for under $1,000

The adventures in deep learning and cheap hardware continue! | Continue reading


@oreilly.com | 5 years ago

Why your next open source project may only be an interface

We are likely to see more open interfaces and metaframeworks emerge, but they have their drawbacks. | Continue reading


@oreilly.com | 5 years ago

The State of Jupyter (2017)

How Project Jupyter got here and where we are headed. | Continue reading


@oreilly.com | 6 years ago

Toward the Jet Age of Machine Learning – O'Reilly Media

Solving the challenges of efficiency, automation, and safety will require cooperation between researchers and engineers spanning both academia and industry. | Continue reading


@oreilly.com | 6 years ago

Returning to our senses

An introduction to how human senses can be incorporated into design principles. | Continue reading


@oreilly.com | 6 years ago