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Computer Vision: Algorithms and Applications to Explore in 2023

ProjectPro

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms.

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Facial Emotion Recognition Project using CNN with Source Code

ProjectPro

In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. With modern deep learning techniques, we have advanced to detect difficult things like smiles, eyes, and emotions. This article will discuss the source code of a Facial Expression Recognition Project in Python.

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A State-of-the-Art Method for Generating Photo-Realistic Textures in Real Time

Zalando Engineering

2017] ) papers at world-class machine learning conferences, and the source code ( SGAN and PSGAN ) to reproduce the research is also available on GitHub. State-of-the-art in Machine Learning It’s all over town. Machine learning, and in particular deep learning, is the new black. 2016] and [Bergmann et al.

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Accelerating Warehouse Operations with Neural Networks

Zalando Engineering

Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. The core idea is to use deep learning to create a fast, efficient estimator for a slow and complex algorithm.

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100+ Machine Learning Datasets Curated For You

ProjectPro

For a machine learning model to perform different actions, two kinds of datasets are required – Training Dataset - The data that is fed into the machine learning algorithm for training. Why you need machine learning datasets? Machine learning algorithms learn from data.

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Role of Artificial Intelligence and Machine Learning in Supply Chain Management 

U-Next

Machine Learning is the science of getting computers to act without being explicitly programmed. Algorithms are used to make predictions about future data, such as what movie you might like or what price you should pay for your next car. . Machine Learning algorithms are often used for classification and prediction problems.