Category: tutorial
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What is Flask python?
Flask is a lightweight and flexible web framework for Python. It allows developers to build web applications quickly and easily, using a simple and intuitive API. Flask is designed to be easy to get started with, but powerful enough to build complex web applications. Flask provides a range of features and tools to make web…
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What is Industry 4.0 and the Future of the Factories (FoF)!
Throughout my PhD studies, I had the opportunity to extensively research the future of the factory, with a particular focus on the topic of Industry 4.0. This was an incredibly exciting time, and I am grateful to Professor Claudio Demartini for guiding me on this journey. In this blog post, I would like to provide…
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What is Combinatorial Optimization?
Combinatorial optimization is a field of mathematics and computer science that focuses on finding the best solution among a finite set of possible solutions to an optimization problem. Combinatorial optimization problems often involve finding the best combination or arrangement of discrete elements or variables to optimize a particular objective function. These problems can arise in…
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What is Digital Twin
I am a fan of the Industrial Revolution and have worked in the industry since 2004. I have always been fascinated by the use of emerging technologies in industrial processes and have worked on various applications. In 2008, I even attempted to control industrial plants through the internet, though I was not familiar with the…
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What is Generative Model?
A generative model is a type of machine learning model that learns to generate new data that is similar to the data it was trained on. Generative models are used in a variety of applications, including image and video synthesis, natural language processing, and speech recognition. The goal of a generative model is to learn…
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What is Quantum computing?
Quantum computing is a field of computing that uses the principles of quantum mechanics to build computers that can perform certain computations much faster and more efficiently than classical computers. In classical computing, information is processed using bits, which are binary units of information that can be either 0 or 1. In quantum computing, information…
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Hyper parameter tuning
Hyperparameter tuning is the process of finding the best set of hyperparameters for a deep neural network that optimizes its performance on a given task. The optimal hyperparameters can significantly impact the accuracy, speed, and stability of the model during training and inference. There are various platforms that can help with hyperparameter tuning, including Grid…