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#correlations — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #correlations, aggregated by home.social.

  1. Qubits break long-held quantum limit by evolving in superposed time paths

    For decades, physicists believed that even the strangest quantum objects had a hard limit on how strongly their…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Physics #AnthonyLeggett #correlations #Quantum #Quantumcomputers #quantumobjects #quantumsuperposition #Science
    newsbeep.com/us/349557/

  2. "It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

    Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" bookdown.org/max/FES/

    #correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation

  3. "It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

    Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" bookdown.org/max/FES/

    #correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation

  4. "It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

    Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" bookdown.org/max/FES/

  5. "It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

    Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" bookdown.org/max/FES/

    #correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation

  6. "It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

    Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" bookdown.org/max/FES/

    #correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation

  7. Google Search Rankings Correlate HIGHLY with Websites that publish content, use domain names in their URLs, use internal links to connect pages together, and that appear in results on other search engines.

    #seo #searchengineoptimization #analysis #correlations #webmarketing #digitalmarketing #algorithms #machinelearning #ai #science #math #yourtaghere

  8. Correlation studies do NOT reveal how Google's algorithms work. Correlation studies do not identify cause-and-effect, they do not point to or imply cause-and-effect, and they do not explain why anything is happening in Google's search results.

    #seo #searchengineoptimization #google #searchengines #analytics #correlations #statistics #webmarketing #digitalmarketing

  9. "A major function [of deductive #logic is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition."

    Valerie Plumwood in Australasian Journal of Logic, 2023: ojs.victoria.ac.nz/ajl/issue/v v @rrrichardzach

    #Plumwood #causality #correlations #economics #reason #ProofTheory #PhilSci #truth #science #ethics #ecofeminism #freedom

  10. "A major function [of deductive #logic is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition."

    Valerie Plumwood in Australasian Journal of Logic, 2023: ojs.victoria.ac.nz/ajl/issue/v v @rrrichardzach

    #Plumwood #causality #correlations #economics #reason #ProofTheory #PhilSci #truth #science #ethics #ecofeminism #freedom

  11. "A major function [of deductive #logic is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition."

    Valerie Plumwood in Australasian Journal of Logic, 2023: ojs.victoria.ac.nz/ajl/issue/v v @rrrichardzach

    #Plumwood #causality #correlations #economics #reason #ProofTheory #PhilSci #truth #science #ethics #ecofeminism #freedom

  12. "A major function [of deductive #logic is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition."

    Valerie Plumwood in Australasian Journal of Logic, 2023: ojs.victoria.ac.nz/ajl/issue/v v @rrrichardzach

    #Plumwood #causality #correlations #economics #reason #ProofTheory #PhilSci #truth #science #ethics #ecofeminism #freedom

  13. "A major function [of deductive is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition."

    Valerie Plumwood in Australasian Journal of Logic, 2023: ojs.victoria.ac.nz/ajl/issue/v v @rrrichardzach

  14. Improved AI Process Could Better Predict Water Supplies
    --
    sciencedaily.com/releases/2024 <-- shared technical article
    --
    doi.org/10.1609/aaai.v38i21.30 <-- shared paper
    --
    “A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…”
    #GIS #spatial #mapping #water #hydrology #waterresources #spatialanalysis #spatiotemporal #model #modeling #numericalmodeling #computermodel #AI #snowpack #WesternUSA #USWest #watersecurity #prediction #SnowWaterEquivalent #SWE #irrigation #floodcontrol #powergeneration #drought #management #decisions #SnowTelemetry #SNOTEL #machinelearning #attentionmechanisms #correlations #snowpack

  15. Improved AI Process Could Better Predict Water Supplies
    --
    sciencedaily.com/releases/2024 <-- shared technical article
    --
    doi.org/10.1609/aaai.v38i21.30 <-- shared paper
    --
    “A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…”
    #GIS #spatial #mapping #water #hydrology #waterresources #spatialanalysis #spatiotemporal #model #modeling #numericalmodeling #computermodel #AI #snowpack #WesternUSA #USWest #watersecurity #prediction #SnowWaterEquivalent #SWE #irrigation #floodcontrol #powergeneration #drought #management #decisions #SnowTelemetry #SNOTEL #machinelearning #attentionmechanisms #correlations #snowpack

  16. Improved AI Process Could Better Predict Water Supplies
    --
    sciencedaily.com/releases/2024 <-- shared technical article
    --
    doi.org/10.1609/aaai.v38i21.30 <-- shared paper
    --
    “A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…”
    #GIS #spatial #mapping #water #hydrology #waterresources #spatialanalysis #spatiotemporal #model #modeling #numericalmodeling #computermodel #AI #snowpack #WesternUSA #USWest #watersecurity #prediction #SnowWaterEquivalent #SWE #irrigation #floodcontrol #powergeneration #drought #management #decisions #SnowTelemetry #SNOTEL #machinelearning #attentionmechanisms #correlations #snowpack

  17. Improved AI Process Could Better Predict Water Supplies
    --
    sciencedaily.com/releases/2024 <-- shared technical article
    --
    doi.org/10.1609/aaai.v38i21.30 <-- shared paper
    --
    “A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…”
    #GIS #spatial #mapping #water #hydrology #waterresources #spatialanalysis #spatiotemporal #model #modeling #numericalmodeling #computermodel #AI #snowpack #WesternUSA #USWest #watersecurity #prediction #SnowWaterEquivalent #SWE #irrigation #floodcontrol #powergeneration #drought #management #decisions #SnowTelemetry #SNOTEL #machinelearning #attentionmechanisms #correlations #snowpack

  18. Improved AI Process Could Better Predict Water Supplies
    --
    sciencedaily.com/releases/2024 <-- shared technical article
    --
    doi.org/10.1609/aaai.v38i21.30 <-- shared paper
    --
    “A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…”

  19. I used to be annoyed by the absurdly low p-values that can be obtained when doing #correlations with thousands of data points. Permutation analysis could help to see if the observed relationships might be a random occurence.

    Searching now for tools that automate the process, while also explaining clearly what is being done.

    #statistics #pvalue #research

  20. Bitcoin (BTC) Slides Back Below $30K, But Should Pump if These Correlations Re-emerge - Bitcoin (BTC), the cryptocurrency that powers the world’s largest decentralized cryptogra... - cryptonews.com/news/bitcoin-bt #correlations #bitcoinnews #bitcoin #btc #dxy

  21. 🔥 In this tutorial, we'll show you to install Giskard . In just 4 lines of code, you will discover vulnerabilities, such as:
    biases.
    leakage.
    ✅ Spurious .
    issues.
    issues.

    [2/4]

  22. 🎉 The replay of our webinar 'Detect vulnerabilities in your AI models' is now available! 🎥🍿

    Detect , leakage, spurious , and confidence issues, using our and x2 your .

    Happy learning! 🚀🔬
    gisk.ar/3Xv0QHn

  23. Nice website with (hopefully) spurious correlations: tylervigen.com/correlation_pro
    For instance, there is a correlation coefficient of 0.99 between (A) US spending on science, space, and technology, and (B) suicides by hanging, strangulation and suffocation, in 1999-2009.

    #stats #correlations

  24. Giskard 1.4 is out! What's new in this version? ⭐

    🔪 With Giskard’s new Slice feature, we introduce the possibility to identify business areas in which your models underperform. This will make it easier to debug performance or identify spurious . We have also added an export/import feature to share your projects, as well as other minor improvements.

    giskard.ai/knowledge/new-versi

  25. I was reading an #article whose authors made and validated an index for professional prestige! They provided the OP scores for the fields and then listed the 15 top #occupations with highest and lowest mean prestige scores (table).
    Below is the gist of the #correlations

    #interpersonal is not strongly correlated with the prestige (no relationship).
    • Critical thinking is strongly related with the prestige.
    • Physical is slightly negatively correlated with the prestige.

    Not fair at all 🥸

  26. PhD opportunity in my group of Statistical #Physics of #Complex #Systems at Coventry University.

    Interested in #graphs, #networks and #algorithms? Join us to study a new #ensemble of complex networks focusing on #correlations, and determine its relations to the degree-sequence and degree-distribution ensembles, to discover mesoscopic drivers in the #evolution of complex systems.

    Please boost widely and feel free to send to possible interested candidates.

    jobs.ac.uk/job/CWC667/phd-stud