You’re only as good as your last outage.

Life shapes you, but you, in turn, shape it

We all like things to be more efficient, especially at work. So we build processes, systems and apps to “help us”. However to make use of…

Discover how Blockchain APIs revolutionize everyday apps! We'll dive into the future of app development with blockchain technology.

In today’s world, having an app for both iOS and Android is a crucial aspect of any successful business strategy. However, creating…

Lessons from my backyard garden

The very best way to achieve high performance

Rootstock is nurturing a "fertile ground" for the Bitcoin tree to flourish. This article discusses how Rootstock is the best Sidechain in the Bitcoin network.

let’s delve deeper into Global Error Handling in Angular with more details and considerations.

How AutoGluon Dominated Kaggle Competitions and How You Can Beat It. The algorithm that beats 99% of Data Scientists with 4 lines of code.

From a cramped Soviet apartment to the glitzy Russian VIP scene, to love, family, and a new life in the U.S. I want to share my journey.

Email apps come in many shapes and sizes.

Transform data from a source of frustration into a powerful business tool with this practical guide for executives.

Because it’s one of the hardest languages ever.

A rollercoaster rite of passage taught me about fear and courage

You most likely heard content creators who write blog articles complain about the recent Google update. But how can we draw a parallel for video creators today?

Node.js is a powerful, server-side JavaScript runtime environment that executes JavaScript code outside a web browser.

This study proposes a set of carefully curated linguistic features for shallow machine learning methods and compares their performance with deep language models

This study proposes a set of carefully curated linguistic features for shallow machine learning methods and compares their performance with deep language models

In this study, researchers attempt to understand the psychology behind TV ratings through character networks, and the different interactions between characters.

This study proposes a set of carefully curated linguistic features for shallow machine learning methods and compares their performance with deep language models