[unable to retrieve full-text content]One of the main principles I learned during my time at Google Brain was that unit tests can make or break your algorithm and can save you weeks of debugging and training time.
Original Post: How To Unit Test Machine Learning Code
[unable to retrieve full-text content]Data scientists may not be as educated or experienced in computer science, programming concepts, devops, site reliability engineering, non-functional requirements, software solution infrastructure, or general software architecture as compared to well-trained or experienced software architects and engineers.
Original Post: Big Data Architecture: A Complete and Detailed Overview
Respected Data Scientist Daniel Tunkelang shares some insight into problems lying at the crossroads of software engineering and data science, and prescribes one major solution: reduce scope! By Daniel Tunkelang, Data Science Consultant. When I left the cocoon of academia nearly two decades ago to become a software engineer, I quickly learned two lessons. The first was a version of…
Original Post: Top Data Scientist Daniel Tunkelang on Data Science Project Scope… and Reducing It
Previous post Next post Tweet Tags: Data Engineering, Data Science, Developers, DevOps, Software Engineering This post will explain why anyone transforming their company into a data-driven organization should care about software development best practices, even if they don’t consider themselves a software company. By Fausto Inestroza, Silicon Valley Data Science. We’ve discussed it before, but it’s worth mentioning…
Original Post: Connecting Data Systems and DevOps
Cross-posted from blog.untrod.com Josh Wills wrote this excellent, pithy definition of a data scientist: Data Scientists (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician. It’s certainly true that software engineering and data science are two different disciplines, and for good reason – they require different skills. But as this definition…
Original post: Engineering Practices in Data Science