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K-Means Clustering and Transfer Learning for Image Classification

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hey Guys, Hope you are doing well. The post K-Means Clustering and Transfer Learning for Image Classification appeared first on Analytics Vidhya. This article will.

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Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters

Flipboard

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. We use Slurm as the cluster management and job scheduling system.

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Credit Card Fraud Detection Using Spectral Clustering

PyImageSearch

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Spectral clustering, a technique rooted in graph theory, offers a unique way to detect anomalies by transforming data into a graph and analyzing its spectral properties.

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Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning Blog

As a result, machine learning practitioners must spend weeks of preparation to scale their LLM workloads to large clusters of GPUs. Integrating tensor parallelism to enable training on massive clusters This release of SMP also expands PyTorch FSDP’s capabilities to include tensor parallelism techniques.

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20 Best Artificial Intelligence Books For Beginners in 2025

Pickl AI

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. This blog highlights the 20 best Artificial Intelligence books tailored for newcomers, offering practical insights, ethical considerations, and real-world applications.

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

After trillions of linear algebra computations, it can take a new picture and segment it into clusters. Deep learning multiple– layer artificial neural networks are the basis of deep learning, a subdivision of machine learning (hence the word “deep”). GIS Random Forest script.

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Top 10 Data Science Projects on GitHub

Pickl AI

Face Recognition One of the most effective Github Projects on Data Science is a Face Recognition project that makes use of Deep Learning and Histogram of Oriented Gradients (HOG) algorithm. Customer Segmentation using K-Means Clustering One of the most crucial uses of data science is customer segmentation.