Blog Profile / O'Reilly Radar


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Filed Under:Technology
Posts on Regator:4836
Posts / Week:10.4
Archived Since:March 2, 2008

Blog Post Archive

Four short links: 20 January 2017

HPC Training, Hard Tech, Analytics Platform, and Government-Vended Surveillance Data Extreme Computing Lectures -- from Argonne National Labs Extreme Computing Training course. Scary-hard HPC for Dummies. How To Build a Hard Tech Startup -- rings true to me. Show More Summary

What makes pattern matching and “implicits” in Scala so powerful?

Learn how to enable functional behavior in Scala code. In my online class, Scala: Beyond the Basics, I discuss two very important aspects to functional programming in Scala. The first is pattern matching, which is the ability to take...Show More Summary

Good fences (between data science and production) make good neighbors

What data scientists need to know about production—and what production should expect from their data scientists. One of the most important goals of any data science team is the ability to create machine learning models, evaluate them offline, and get them safely to production. Show More Summary

Putting the science back in data science

Best practices and scalable workflows for reproducible data science. One of key tenets of science (physics, chemistry, etc.), or at least the theoretical ideal of science, is reproducibility. Truly “scientific” results should not be accepted by the community unless they can be clearly reproduced and have undergone a peer review process. Show More Summary

Randy Hunt on design at Etsy

The O’Reilly Design Podcast: Collaborating with engineering, hiring for humility, and the code debate. In this week’s Design Podcast, I sit down with Randy Hunt, VP of design at Etsy. We talk about the culture at Etsy, why it’s important to understand the materials you are designing with, and why humility is your most important skill. Show More Summary

Four short links: 19 January 2017

Attention and Learning, Reproducing Cancer Research, Deep Traffic, and Spreadsheets to Viz Attention and Reinforcement in Learning -- summary of a recent article available on Sci-Hub (no preprints available on the authors' sites). The results also showed that selective attention shapes what we learn when something unexpected happens. Show More Summary

The state of Linux security

Lessons learned from 2016’s most important Linux security events. Introduction In the last 10 years, GNU/Linux achieved something some foresaw as almost impossible: powering both the smallest and biggest devices in the world, and everything in between. Show More Summary

Accelerating APIs with continuous delivery

Create business value and add new functionality through an automated build pipeline. Much has been written about the web-based API economy, and there are clear benefits to an organization for exposing their services and offerings via an API. Show More Summary

Use deep learning on data you already have

Putting deep learning into practice with new tools, frameworks, and future developments. Deep learning has made tremendous advances in the past year. Though managers are aware of what's been happening in the research world, we're still in the early days of putting that research into practice. Show More Summary

Steven Shorrock on the myth of human error

The O’Reilly Security Podcast: Human error is not a root cause, studying success along with failure, and how humans make systems more resilient. In this episode, I talk with Steven Shorrock, a human factors and safety science specialist. Show More Summary

Four short links: 18 January 2017

Continuous Delivery, Three Machines, Chinese Astroturfing, and The Developer Tools Market Screwdriver -- Yahoo has open-sourced their continuous delivery. The Three Machines (Brad Feld) -- (1) the Product machine, (2) the Customer machine, and (3) the Company machine. Show More Summary

Rapid techniques for mapping experiences

This ebook explains how teams in your organization can co-create these diagrams in only a couple of weeks. Design ad ??? Edition (only include edition line if it's 2e or higher --> Subtitle Goes Here Continue reading Rapid techniques for mapping experiences.

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. Algorithmic Trading Algorithmic trading refers to the computerized, automated trading of financial instruments (based on some algorithm or rule) with little or no human intervention during trading hours. Show More Summary

Four short links: 17 January 2017

Autonomous RDBMS, Rules of Machine Learning, Open Source LTE, and Limits of Evidence-Based Policy Peloton -- a relational database management system that is designed for autonomous operation. The system’s integrated planning component...Show More Summary

Going cloud native

Results from the O’Reilly Cloud Platform Survey. Businesses must move fast to remain competitive. Cloud-native applications offer improved speed and scalability over traditional applications, with better resource utilization and lower...Show More Summary

Why you should standardize your microservices

An interview with Susan Fowler, Site Reliability Engineer at Uber Technologies. Continue reading Why you should standardize your microservices.

4 essential skills software architects need to have but often don’t

A look into the unspoken side of software architecture. Microservices. Continuous delivery. Reactive systems. Cloud native architecture. Many software architects (or even aspiring ones) have at least a passing familiarity with the latest trends and developments shaping their industry. Show More Summary

How do I undo additions to a repository before a Git commit?

Learn how to use the git-rm command to remove accidental additions to your Git repository. Continue reading How do I undo additions to a repository before a Git commit?.

Four short links: 16 January 2017

Focus Card, Future Tech Trends, Stoic AI Ethics, and Inverse Kinematics The Card I've Carried In My Notebook (DJ Patil) -- Dream in years, plan in months, evaluate in weeks, ship daily. Prototype for 1x, build for 10x, engineer for 100x. Show More Summary

How do I check out a remote branch with Git?

Learn how to create local copies of remote branches so that you can make local changes in Git. Continue reading How do I check out a remote branch with Git?.

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