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Internxt

10 Free and Open-source Apps for Remote Workers

Sep 6, 2022 By Joe Tobin In Internxt
Free and open-source apps for remote workers provide an alternative to costly and often less transparent commercial software. Many incredible free and open-source applications can significantly improve your remote work experience. Open-source applications are programs that you can run, modify, and redistribute for any purpose. Such applications are public, and everyone has access to their source code. These apps and software are commonly referred to as FOSS.
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meshiq

How Does Machine Learning Work?

Sep 5, 2022 By meshIQ In meshIQ

In this era, machine learning is important. Machine learning helps in business Management operations and understanding customer behaviors. It also helps in the development of new products. Every leading company is shifting towards machine learning. Companies like Amazon, Facebook, Google, and of course Nastel Technologies, prioritize machine learning as their central part. Let’s see how machine learning works.

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opsmatters

Top 5 Best OCR API and How to Use it for Your Business Needs

Sep 5, 2022 By OpsMatters In OpsMatters
An OCR - Optical Character Recognition is a tool used to convert an image that contains text into a machine-readable text format. OCR technology is a business solution that has helped a lot of business owners by automating data extraction from printed or written text from a scanned document or image file and then converting the text into a machine-readable form to be used for data processing like editing or searching.
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opsmatters

5 Top Retail Management Platforms You Ought to Invest in

Sep 5, 2022 By OpsMatters In OpsMatters
As a retail business owner, you ought to leverage the power of tech to make work easier, cut cost and streamline operations. Mind you, retail is one of the industries that is now facing fierce competition from ecommerce platforms coupled with a shift in consumer habits over the past few years. This is where tailored retail management tools and platforms are a crucial element of this digitization process that your business ought to invest in. Without further ado, let's look into some of the top retail management platforms you should use in your retail store.
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canonical

Best practices to publish open-source software operators

Sep 5, 2022 By Michael Jaeger In Canonical

Running or operating applications requires several tasks throughout their lifecycle: scaling instances, checking the health, integrating with other applications, running backups, and applying updates – to name a few examples. It’s a time and labour-intensive process. To automate these tasks, developers can implement scripts for repeated execution. This is where the software operator comes in.

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meshiq

How Is Machine Learning Used In AIOps?

Sep 2, 2022 By Cathy Bernardone In meshIQ

When we think of computers, we typically think in terms of exactness. For example, if we ask a computer to do a numeric calculation and it gives us a result, we are 100% sure that the result is correct. And if we write an algorithm and it gives an incorrect result, we know we have coded improperly and it needs to be corrected. This exactness however, is not the case when dealing with Machine Learning. As a matter of fact, it is par for the course, that Machine Learning will be incorrect a percentage of the time.

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signoz

Building a one-stop Open Source Observability Platform | OpenObservability Podcast

Sep 2, 2022 By Priyansh Khodiyar In SigNoz
Pranay, one of the the co-founders at SigNoz, was recently invited as a guest speaker by Jonah Kowall, CTO at Logz.io on his OpenObservability Podcast. In the podcast, Pranay talks about the mission behind SigNoz - unifying traces, metrics, and logs in a single platform and interface. He also shared anecdotes about the evolution of SigNoz since its inception, the community adoption, and its contribution to SigNoz.
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How Netdata's machine learning works

Sep 1, 2022 By netdata In netdata
In this video we will walk though the Netdata Anomaly Advisor deepdive python notebook. The aim of this notebook is to explain, in detail, how the unsupervised anomaly detection in the Netdata agent actually works under the hood. No buzzwords, no magic, no mystery :) Try it for yourself, get started by signing in to Netdata and connecting a node. Once initial models have been trained (usually after the agent has about one hour of data, zero configuration needed), you'll be able to start exploring in the Anomaly Advisor tab of Netdata.
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