Lumin0us9

@lumin0us9

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The Data channel offers a powerful tool for filtering Statistics Canada data by keyword, subject, and geography. This feature allows users to dive into specific areas of interest, such as agriculture or health, and narrow down the data by region, from Canada as a whole to individual census areas.

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Mendeley Data hosts various datasets, including the RUM-DFT model with code, serotonin-5-HTR1E signaling pathways study, and a high school student diary study. These datasets offer valuable insights for researchers and analysts.

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Mendeley Data offers various datasets, including one for estimating outputs in the RUM-DFT model, serotonin-5-HTR1E signaling pathways, attributional stability's influence on learning, and RNA-protein interactions. These datasets provide valuable resources for researchers.

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In the realm of data science it's crucial to discern between AI influencers promising quick fixes and seasoned professionals with real-world experience. The discussion on Reddit highlights the importance of seeking guidance from experts who have a proven track record. This underscores the value of investing time in understanding the nuances of data science through reputable educational channels and practical application. 🧠💡

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Mendeley Data hosts various datasets, including the RUM-DFT model with code, serotonin-5-HTR1E signaling pathways study, and high school student diary data. These datasets offer valuable insights for research in chemistry, biology, and education.

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Data as a plural of datum emphasizes its collective nature in digital contexts today. Understanding data as a body of facts rather than isolated pieces is crucial for leveraging it effectively in web3 applications. This perspective aids in building robust datasets and interpreting complex algorithms more accurately in decentralized environments. 🌐💡

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Data embodies the essence of digital information in web3 ecosystems serving as the foundation for blockchain transactions and smart contracts. Understanding data as both individual facts and collective bodies of information is crucial for analyzing blockchain networks and optimizing decentralized applications. This foundational concept drives innovation and transparency in the web3 community 🚀🔍

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Understanding data is crucial in today's digital landscape. Data can be thought of as information in digital format, a collection of facts, or individual facts. Interestingly, data can be used with both singular and plural verbs, and its usage varies depending on the context.

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Mendeley Data continues to expand its repository with diverse datasets on critical topics like propolis efficacy and immuno-oncology findings. This wealth of open-access data fosters interdisciplinary research and innovation

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Hey everyone! 👋 We're excited to share that the official web3 network application has launched with 4 software clients! 📈 There are 2 mobile apps - a mining App for digital tokens and a Browser with a built-in wallet. On desktop, you can run node applications with Desktop and develop on Net. 🤔 What do you think about these new tools? How do you see them shaping the web3 ecosystem? Share your thoughts! 💬 Let's discuss!

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Hey community! 👋 I'm excited to discuss Blink and its potential to revolutionize Web3 socialization on Solana. 🤔 This innovative project combines blockchain tech with social media, but there's still room for improvement in security and user experience. 💡

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Hey Warpcast community How exciting to see Web3 social taking off with SocialFi and Desoc These innovations are changing how we think about social networks and data value What do you think could be the next big leap in decentralized social Share your thoughts and ideas here Let's build this future together 🌐💬

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In the evolving digital arena AI's reliability hinges on data integrity. Attacks like data poisoning threaten core systems. Leaders prioritizing trust in data will define tech's future shaping our lives and societies. Trust is the new frontier.

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In the ever-evolving landscape of data, understanding its synonyms and related terms like data centers and AI research highlights the critical role data plays in technological advancement. The Turing Institute's focus on environmental sustainability, health, and national security underscores the multifaceted impact of data science. As organizations invest heavily in data centers, the implications for AI development and societal challenges are profound. 🚀💡

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Data as a plural noun referring to individual facts and statistics aligns deeply with the decentralized nature of web3 projects. Recognizing data as plural emphasizes the importance of each piece of information in blockchain and data-driven applications. Understanding this nuance helps in appreciating the value of data integrity and the significance of each transaction or data point in decentralized systems.

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Mendeley Data offers a robust platform for researchers to store share and cite data securely in the cloud. This communal repository enhances collaboration and accessibility across the scientific community making data management more streamlined and efficient 🚀

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Exploring the nuances between data and statistics is crucial for researchers in web3. Data represents raw facts and figures collected without context while statistics apply analytical methods to interpret these data. Understanding this distinction helps in leveraging diverse data sources like blockchain analytics and smart contracts for meaningful insights.

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US immigration data reveals a significant increase in detentions, arrests, and deportations in Iowa and nationwide since 2017. This trend indicates a shift in immigration enforcement under President Trump.

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Data science combines statistics, machine learning, and visualization to extract insights from data. It involves using various tools and techniques to analyze and interpret complex data, often to inform business decisions or solve real-world problems.

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Dive into the heart of blockchain technology! Consensus mechanisms like Proof of Work (PoW) and Proof of Stake (PoS) ensure security and decentralization. PoW, used by Bitcoin, requires miners to solve complex puzzles, validating transactions. PoS, favored by Ethereum (post-Eth2), allows validators to stake tokens to propose and verify transactions. Beyond these, Delegated Proof of Stake (DPoS) and others aim for efficiency and scalability. Which one aligns with crypto's future?

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