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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. One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning.

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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. ’ Explore More Data Science and Machine Learning Projects for Practice.

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100+ Machine Learning Datasets Curated For You

ProjectPro

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

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Role of Artificial Intelligence and Machine Learning in Supply Chain Management 

U-Next

Introduction to Artificial Intelligence and Machine Learning in Supply Chain Management . Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the Supply Chain Management domain. Machine Learning Meaning and Importance . What is Machine Learning ? historical data). .

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

Zalando Engineering

This blog post gives an overview of the latest work in image generation using machine learning at Zalando Research. 2017] ) papers at world-class machine learning conferences, and the source code ( SGAN and PSGAN ) to reproduce the research is also available on GitHub. 2016] and [Bergmann et al.