December 16, 2019

200 words 1 min read

Fixing JavaScript Date: A journey from Minneapolis to Microsoft, TC39, and everywhere in between

Fixing JavaScript Date: A journey from Minneapolis to Microsoft, TC39, and everywhere in between

Maggie Pint explains how bad date support in JavaScript took one frontend developer (her) from making HR software in Minneapolis to working as an Azure SRE. It's a story of failures and heartbreaks but also of change, success, and the amazing power of the many people in the open source and standards community.
Talk Title Fixing JavaScript Date: A journey from Minneapolis to Microsoft, TC39, and everywhere in between
Speakers Maggie Pint (Microsoft)
Conference O’Reilly Fluent Conference
Conf Tag The Web Platform in Practice
Location San Jose, California
Date June 12-14, 2018
URL Talk Page
Slides
Video Talk Video

What inspires someone to start contributing to open source? How does someone end up on a standards committee? How can someone leverage the power of the open source community to influence the standards process? Maggie Pint explains how bad date support in JavaScript took one frontend developer (her) from making HR software in Minneapolis to working as an Azure SRE. It’s a story of failures and heartbreaks but also of change, success, and the amazing power of the many people in the open source and standards community. If you’ve ever wondered, “Am I good enough?” this is a story for you.

javascript azure microsoft open source
comments powered by Disqus
Distributed training of deep learning models

Distributed training of deep learning models

December 10, 2019

Mathew Salvaris, Miguel Gonzalez-Fierro, and Ilia Karmanov offer a comparison of two platforms for running distributed deep learning training in the cloud, using a ResNet network trained on the ImageNet dataset as an example. You'll examine the performance of each as the number of nodes scales and learn some tips and tricks as well as some pitfalls to watch out for.
Offline sync for progressive web apps

Offline sync for progressive web apps

December 14, 2019

Bradley Holt demonstrates how service workers, Apache CouchDB (an open source document database), Hoodie (an open source Node.js backend for offline first apps), and PouchDB (an open source JavaScript database that syncs) can be used to build progressive web apps using an offline-first approach in order to provide fast, zero-latency access to content and data stored directly on the device.
Deep learning in the browser: Explorable explanations, model inference, and rapid prototyping

Deep learning in the browser: Explorable explanations, model inference, and rapid prototyping

December 11, 2019

Amit Kapoor and Bargava Subramanian lead three live demos of deep learning (DL) done in the browserbuilding explorable explanations to aid insight, building model inference applications, and rapid prototyping and training an ML modelusing the emerging client-side JavaScript libraries for DL.
Detecting small-scale mines in Ghana

Detecting small-scale mines in Ghana

December 10, 2019

Michael Lanzetta and Elena Terenzi offer an overview of a collaboration between Microsoft and the Royal Holloway University that applied deep learning to locate illegal small-scale mines in Ghana using satellite imagery, scaled training using Kubernetes, and investigated the mines' impact on surrounding populations and environment.
Operationalize deep learning models for fraud detection with Azure Machine Learning Workbench

Operationalize deep learning models for fraud detection with Azure Machine Learning Workbench

December 6, 2019

Advancements in computing technologies and ecommerce platforms have amplified the risk of online fraud, which results in billions of dollars of loss for the financial industry. This trend has urged companies to consider AI techniques, including deep learning, for fraud detection. Francesca Lazzeri and Jaya Mathew explain how to operationalize deep learning models with Azure ML to prevent fraud.
Keynote: Container-Native Dev-and-ops Experience: It's Getting Easier, Fast.

Keynote: Container-Native Dev-and-ops Experience: It's Getting Easier, Fast.

November 30, 2019

The theme of Austin's KubeCon was that kubernetes is still too hard for developers. The Azure team has been working hard to improve the ease of container-native app development, using 100% open source …