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Setting Up a Data Science Environment on the Cloud (Without the Usual Setup Pain)
dev.to·1d·
Discuss: DEV
🏠Homelab Clustering
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·12h
📝Parsing Grammars
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Running Code and Failing Models – Rajiv Shah
projects.rajivshah.com·2d
🧠Machine Learning
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A Multi-fidelity Double-Delta Wing Dataset and Empirical Scaling Laws for GNN-based Aerodynamic Field Surrogate
arxiv.org·2d
🌀Riemannian Computing
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Treating Functions as Vectors in Hilbert Space
hackaday.com·2d
📐Linear Algebra
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Anticipating Risk Before It Hits: Surbhi Gupta on the Future of Predictive Analytics
hackernoon.com·2d
🔍BitFunnel
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How Data Science Is Reshaping Modern Marketing Strategy
dev.to·1d·
Discuss: DEV
📊Feed Optimization
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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
Parallel Computing
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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The 2025 Guide to Machine Learning
ibm.com·1d·
Discuss: Hacker News
🧠Machine Learning
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Probability Concepts You’ll Actually Use in Data Science
kdnuggets.com·4d
🧮Kolmogorov Bounds
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·7h·
Discuss: DEV
📝Text Parsing
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·19h·
Discuss: r/compsci
📥Feed Aggregation
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
📊Quantization
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Day 34 of improving my Data Science skills
dev.to·1d·
Discuss: DEV
🗂Data structures
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CoSeNet: A Novel Approach for Optimal Segmentation of Correlation Matrices
arxiv.org·2d
🧠Machine Learning
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Why Data Science Offers Some of the Highest-Paying Jobs
dev.to·2d·
Discuss: DEV
🗺️Competency Maps
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Build & Train a Neural Network in Python Using TensorFlow, Keras & Scikit-Learn
statisticsglobe.com·3d
🧠Machine Learning
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Data Science & AI: A Developer’s Guide to the Future of Analytics
dev.to·4d·
Discuss: DEV
🌊Stream Processing
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