All posts by Sophie Turol

Considerations for Running Stateful Apps on Kubernetes

December 11, 2018 | 0 Comments | Sophie Turol
Deploying and maintaining stateful apps in the cloud may be challenging. Learn how to address performance, data resilience, integration, and failure issues.

How NASA Uses Artificial Intelligence to Detect Exoplanets

October 10, 2018 | 0 Comments | Sophie Turol
There can be 40 billion stars potentially hosting human-like life. Learn how NASA uses transit techniques and machine learning to detect biohints on such stars.

Ansible Fabric Starter: Deploy Hyperledger Fabric to Multiple Instances

August 28, 2018 | 6 Comments | Hleb Iodo...
Altoros introduces a utility that allows for deploying a blockchain network to multiple instances with a configurable amount of organizations and channels.

DataOps: The Challenges of Operating a Machine Learning Model

August 24, 2018 | 0 Comments | Sophie Turol...
This blog post highlights the challenges faced by data scientists at each step of the deep learning process, as well as overviews tools to resolve them.

Multimodal Sentiment Analysis with TensorFlow

August 22, 2018 | 0 Comments | Sophie Turol
A multimodal sentiment analysis poses an alternative to a conventional one, capable of processing text, visual, and audio data in a single workflow.

A Multitude of Kubernetes Deployment Tools: Kubespray, kops, and kubeadm

June 28, 2018 | 0 Comments | Sophie Turol...
This article explores what each of the tools offers, how they differ, and which scenarios they fit—providing some recommendations on using Kubespray.

Three Approaches to Testing and Validating TensorFlow Code

June 14, 2018 | 0 Comments | Sophie Turol
Read about some assertion methods that may help to validate data shapes, graph structures, and numerical calculations of the TensorFlow code.

Natural Language Processing Saves Businesses Millions of Dollars

May 14, 2018 | 0 Comments | Sophie Turol
Here, we overview some scenarios and the means of machine learning that help to automate operations, enable time efficiency, cut overhead costs, etc.

Approaches and Models for Applying Natural Language Processing

May 4, 2018 | 0 Comments | Sophie Turol
Natural language processing is actively used to recognize patterns, make predictions, produce content, reconstruct 3D models, etc.

Analyzing Satellite Imagery with TensorFlow to Automate Insurance Underwriting

April 26, 2018 | 0 Comments | Sophie Turol
Paired with image classification models, TensorFlow can help to analyze satellite / aerial / street view imagery of buildings to deliver risk-related details of property.
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