Ridesharing company Lyft has open sourced Flyte, its distributed processing platform for machine learning workflows that is being used in different Lyft teams including Pricing, Data Science and Fraud. Let’s see how the open source tool can benefit ML workflows.
I was lucky enough to sit down and have a chat with Tim Hall, Head of Products at InfluxData about their platform, their ‘time to awesome’ philosophy, and a new data scripting and querying language, Flux. We also take a look at the future of InfluxData and their plans for 2020. Let’s take a closer look.
Women are underrepresented in the tech sector —myth or reality? Two years ago, we launched a diversity series aimed at bringing the most inspirational and powerful women in the tech scene to your attention. Today, we’d like you to meet Grace Jansen, Developer Advocate at IBM.
How do data scientists make their predictions? It isn’t magic, it’s technology. In this session from JAX London, Steph Locke gives you a look behind the curtain at the process and fundamentals that data scientists employ. You will learn about the basics of data science and how to add it to your own technical field.
What does the future of operations look like? This article examines the practical uses of DataOps, its advantages, and how it can solve critical issues. DataOps integrates development processes and data management functions, improves data-focused communication, and brings your business up to a higher level of efficiency.
Git 2.25 has been released. It is designed to improve partial cloning of repositories, a feature that is still considered experimental, with the new
git sparse-checkout command. Let’s take a closer look and see what the version control system’s latest release has in store for us.
As the date approaches when the US Supreme Court will hear the case of Oracle v. Google, Red Hat and IBM have submitted a “friend of the court” brief in support of Google, justifying why the decision made by the Court of Appeals should be overturned. Let’s take a closer look.
The popular data science library pandas just turned twelve, and now it’s headed for version 1.0.0. The first release candidate shows that pandas will receive a new scalar for missing values, a new deprecation policy following semantic versioning, a redesigned website and more.
ALBERT was developed by a group of research scientists at Google Research as an “upgrade to BERT.” The NLP model is designed to optimize the performance of natural language processing tasks as well as their efficiency, and now it has been made publicly available. Let’s take a closer look.
Are you ready for DevOps in 2020? As DevOps matures, prepare yourself for the coming decade and brush up on the top 5 DevOps trends that will become relevant in the new year and beyond. Organizations will want to stay up to date with DevSecOps, cloud-native DevOps, Google’s Golang, increasing automation possibilities, and more.
In this talk, Thomas Bley introduces AWS Lambda. Find out how to get started, step-by-step, learn what the costs are, how to scale, deploy, and test. By the end, you will know how to get your PHP application running inside of AWS Lambda.
As deep systems become more prevalent in today’s high-speed digital enterprises, DevOps must find the best tools in order to manage them. We spoke with Ben Sigelman, co-founder and CEO at LightStep, about how deep systems emerge, microservice observability, and the difficult aspects of dealing with deep systems.
TensorFlow 2.1.0 has been released, following two release candidates. The final version of the machine learning platform includes new features and breaking changes. Meanwhile, Python 2.7 has reached its end of life and is no longer supported by TensorFlow. Let’s take a look at what else has changed.