Network

Demystifying Azure Storage Account Network Access

Service endpoints and personal endpoints hands-on: including Azure Backbone, storage account firewall, DNS, VNET and NSGsThat is nevertheless counterintuitive, since first a non-public endpoint is created within the VNET after which traffic is blocked...

Using JPEG Compression to Improve Neural Network Training

A brand new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training scheme of a neural network, and manages to acquire higher results – and higher resistance...

SKT “Improvement of communication and network performance with AI agent… business expansion possible”

SK Telecom (CEO Youngsang Yoo) participated within the presentation of the 'M360' session held on the Westin Chosun Seoul on the 2nd with Softbank, NTT Docomo, etc., saying that artificial intelligence (AI) technology will...

What’s Inside a Neural Network?

At the start, we'd like synthetic data to work with. The info should exhibit some non-linear dependency. Let’s define it like this:I’d like to see you surfaces, so please be at liberty to share...

Find out how to Network as a Data Scientist

Times are changing — if you must get into data science, you've got to network such as you mean it.The fact of the info science job market in 2024It’s not so simple as sending...

The Secret Network of Owls

An information-based tribute to the International Owl Awareness DayDid you already know that the 4th of August is International Owl Awareness Day? Me neither until idle browsing on cute owl memes led me to...

What the Looming Employee Exodus Means for Network Security & How Organizations Can Respond

Every skilled can relate to the sensation of watching an older, highly experienced coworker retire. While it’s often a pleased occasion to have fun the contributions, a person dropped at an organization, the gulf...

Neural Network (MLP) for Time Series Forecasting in Practice

Time series and more specifically time series forecasting is a really well-known data science problem amongst professionals and business users alike.Several forecasting methods exist, which could also be grouped as statistical or machine learning...

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