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An Introduction to Julia for Data Analysis

Analytics Vidhya

Introduction Which language do we use when it comes to data analysis? But there is one more language for data analysis which is growing rapidly. The post An Introduction to Julia for Data Analysis appeared first on Analytics Vidhya. Of course, Python, isn’t it?

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Deep Learning for Fashionistas: African Attire Detection

Analytics Vidhya

Introduction Fashion has not received much attention in AI, including Machine Learning, Deep Learning, in different sectors like Healthcare, Education, and Agriculture. This is because fashion is not considered a critical field; consider this a fun project!

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A Basic Introduction to OpenCV in Deep Learning

Analytics Vidhya

OpenCV is a massive open-source library for various fields like computer vision, machine learning, image processing and plays a critical function in real-time operations, which are fundamental in today’s systems. The post A Basic Introduction to OpenCV in Deep Learning appeared first on Analytics Vidhya.

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Deep Learning vs. Neural Networks: A Detailed Comparison

Pickl AI

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. Deep Learning Complexity : Involves multiple layers for advanced AI tasks.

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Purdue Researchers Utilize Deep Learning and Topological Data Analysis for Advanced Model Interpretation and Precision in Complex Predictions

Marktechpost

Purdue University’s researchers have developed a novel approach, Graph-Based Topological Data Analysis (GTDA), to simplify interpreting complex predictive models like deep neural networks. GTDA utilizes topological data analysis to transform intricate prediction landscapes into simplified topological maps.

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SPACEL: deep learning-based characterization of spatial transcriptome architectures

Flipboard

Here, we introduce spatial architecture characterization by deep learning (SPACEL) for ST data analysis. Here, authors present a deep learning based method SPACEL for cell type deconvolution, spatial domain identification and 3D alignment, showcasing it as a valuable toolkit for ST data analysis

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Digging Into Various Deep Learning Models

Pickl AI

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. billion in 2025 to USD 34.5