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Category: Machine Learning

Intelligent Virtual Assistant

How Intelligent Virtual Assistants are Revolutionizing Industries

An intelligent virtual assistant (IVA) is a software program that uses artificial intelligence (AI) to perform different activities or provide services for individuals in terms of the response or tasks given to them. IVAs are typically designed to understand natural language…

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Long Short Term Memory Networks: What It Is and How It Works?

Machine learning is a powerful technique that learns and improves from its experience by developing algorithms. Algorithms are programs that compute, access, and process input data and predict results. The machine learning model is designed to compute complex computations, and learn…

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June_15_2022_private 5g

How Private 5G Networks are Shaping the Future of Enterprise Solutions

A private 5G network is a network carrying all the key capabilities of 5G, however, it is isolated from the public 5G network provided by any Mobile Network Operator (MNO) or connected in a restricted manner. A private 5G network is…

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April_19_2022_ML in Production line

Improve Production Line Quality Using Machine Learning At The Edge

The industry 4.0 paradigm encourages the manufacturing industry to use machine learning, artificial intelligence, cloud computing and industrial internet of things (IIoT) technologies to improve industrial process, product quality, reduce cost and time to market. Machine learning algorithms act as an…

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AWS Vs. Azure Vs. Google Cloud: Comparing Top Cloud Platforms For MLaaS

Machine Learning has become a pioneer in the data-driven world. Most enterprises use Machine Learning and Data Analytics to better understand their target audience, automate some of their production, create better products according to market demand, improve business performance, etc. All…

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November_9_2021_ML in Networking

5 Important Applications of Machine Learning in Networking

Rapidly rising demand for Internet connectivity has put a strain on improving network infrastructure, performance and other critical parameters. Network administrators have to encounter different types of network running multiple network applications. Each network application has its own set of features…

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Data Augmentation and its Importance in Machine Learning

The quantity and variation of data are important for the performance of most ML models (e.g. deep learning neural network models). Thus, the training of the neural network models requires a very large dataset. Then only it can achieve the accuracy…

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July_05_2021_supply Chain

How Machine Learning optimizes Supply Chain Management?

In recent years, Artificial Intelligence and Machine Learning (AI-ML) has almost revolutionised the way different industries function. One such segment is Supply Chain Management. Some of the key factors of Machine Learning that help in optimizing the overall Supply Chain Management…

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March _17,_2021_Automonous car

Audio Analytics – An Important Technology For Autonomous Cars

Artificial Intelligence (AI) and Machine Learning (ML) will hold the key place in the huge transformation of the Automotive Industry by integrating it into designing autonomous cars. Together with other areas like supply chain management, manufacturing operations, mobility services, image, and…

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Machine Learning Model Analysis Using TensorBoard

Machine Learning is growing by leaps and bounds with new neural network models coming up regularly. These models are trained for specific dataset, and are proven for accuracy and processing speed. Developers need to evaluate ML models and ensure that it…

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