Reducing Google's ad profiling - seeking practical strategies
discuss.privacyguides.net·4h
⚙data engineering
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Getting the Most Out of a Technical Book
sebastianraschka.com·4h·
Discuss: Hacker News
⚙data engineering
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Why engineering document management is the backbone of smart plants
independent.co.uk·1d
⚙data engineering
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Compliance in Practice: Making NIS2 and ISO 27001 Work in Daily Operations (denog17)
cdn.media.ccc.de·2d
⚙data engineering
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Men's Necktie History Explained in Under 3 Minutes (From Ancient Warriors to Modern Power Players)
i.redd.it·15h·
Discuss: r/LaModeMens
⚙data engineering
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Exploring Generation Z's Interaction With Voice Assistants in Online Shopping: A Multi‐Method Approach
onlinelibrary.wiley.com·3d
🤖ai
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How to land “the emotional why” of company change
bigthink.com·1d
⚙data engineering
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5 Essential Python Scripts for Intermediate Machine Learning Practitioners
machinelearningmastery.com·8h
🤖ai
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The Right Way to Structure a Dedicated Software Development Team
dev.to·6h·
Discuss: DEV
⚙data engineering
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The Factory Method Pattern: The Secret Behind Scalable Code
dev.to·1d·
Discuss: DEV
⚙data engineering
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MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition
nature.com·13m
⚙data engineering
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Data plus connection creates growth
fastcompany.com·19h
⚙data engineering
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Rethinking Explanation Evaluation under the Retraining Scheme
arxiv.org·1d
🤖ai
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DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
arxiv.org·1d
⚙data engineering
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The Vibe Coding Evolution: Why AI Needs Enterprise-Grade Team Features (And How Breaking Down Your Workflow Changes Everything)
dev.to·1d·
Discuss: DEV
🤖ai
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Why Your Global Team Probably Isn't as Aligned as You Think — and How to Fix It
entrepreneur.com·46m
⚙data engineering
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Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Network
arxiv.org·14h
🤖ai
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AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys
arxiv.org·1d
⚙data engineering
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Stability of 0-dimensional persistent homology in enriched and sparsified point clouds
arxiv.org·2d
⚙data engineering
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.com·2d
⚙data engineering
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