News & insights

News & insights

Oct 16, 2020
Data Science & Tech
VorTECHsa
Data Science
Technology

Sometimes writing your own algorithm out-performs a library by 3 orders of magnitude

Sep 28, 2020
People & Culture
VorTECHsa
People & Culture
Data Science

Using Data Science to create unprecedented visibility into energy markets and make the world slightly better.

Sep 16, 2020
Data Science & Tech
VorTECHsa
Data Science
Insight
Technology

This is the second article of this series, outlining how to think about data processing code in the Python world, and more specifically, how we can improve our code performance while writing legible, maintainable, production-quality code.

Sep 16, 2020
Data Science & Tech
VorTECHsa
Data Science
Insight
Technology

In this article, our Head of Data Services focuses on different practices to make sure that our data can be trusted, how we keep it recent and always accessible by adopting the mindset of site reliability engineering.

Aug 19, 2020
Data Science & Tech
VorTECHsa
Product Updates
Python SDK
Insight

A comprehensive comparison of the products that we offer to our customers such as our API, Excel add-in, and Python SDK. Discover the benefits of our systems to decide what best works for you and your company.

Aug 19, 2020
Data Science & Tech
Event
VorTECHsa

Recently, the Application Development Team at Vortexa delivered a presentation at an event run by the JavaScript Exchange. Watch the presentation and read the wrap up today.

Jul 15, 2020
People & Culture
VorTECHsa
Product Updates
Python SDK
Data Science

A look into the journey of one of our analysts learning Python and implementing his skills with the Vortexa SDK.

Jul 14, 2020
Data Science & Tech
VorTECHsa
Python SDK
Data Science
Insight

The first in a two-part series of articles outlining how to think about data processing code in the Python world, and how we can improve our code performance while writing legible, maintainable, production-quality code.

Jun 16, 2020
Data Science & Tech
VorTECHsa
Data Science
Technology

The final chapter of our Satellite Image Segmentation. This piece is an analysis on how to identify where ships are within a satellite image, building a U-Net from the encoder developed in Part 2.

Jun 15, 2020
Data Science & Tech
VorTECHsa
Data Science
Technology

Towards a fully convolutional network, for more interpretability (example of CAM attention), early localisation properties, and capability to evolve into an image segmentation model. In the process, we’ll delve into the technique of transfer learning.

Apr 16, 2020
Blog Migrations
VorTECHsa
Product Updates
Python SDK
Jupyter Notebook
Feb 18, 2020
VorTECHsa
Video
Product Updates
Python SDK
Jan 22, 2020
Data Science & Tech
VorTECHsa
Video
Product Updates
Python SDK

Jan 16, 2020
AWS Data Exchange
VorTECHsa
Data Science
Nov 13, 2019
VorTECHsa
Data Science

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