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#pearson — Public Fediverse posts

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

  1. Wer hat Kapazitäten, die Bilder von #Gardner #Morrison #Pearson mit der Überschrift „Obey!“ zu vereinen? #Banksy

  2. Jets' Tanner Pearson: Garners pair of helpers

    misryoum.com/us/trending/jets-

    Pearson recorded two assists and a plus-2 rating in Thursday's 4-1 win over the Lightning.Pearson has three helpers over three games in March, which follows a nine-game drought from Jan. 17 to Feb. 27. The 33-year-old winger is still...

    #Jets #Tanner #Pearson #Garners #pair #helpers #US_News_Hub #misryoum_com

  3. "Ey, du willst dich für Linux zertifizieren? Kein Ding, neben Videoüberwachung und anderer Datenspeicherung usw. wollen wir evtl. lebenslang dein Venenmuster deiner Hand registrieren. Keine sorge, ganz normal das"

    WAS ZUM FICK!? 🤯 🤯 🤯
    wsr.pearsonvue.com/testtaker/p

    #LPIC #Pearson #LinuxInstitute #Privacy #Linux

  4. Looking for something to do today? Join me @ 10AM EST for Python Data Science & AI Full Throttle. NLP, data mining, predictive AI, machine&deep learning, MongoDB, Apache Spark, IoT, genAI with the OpenAI APIs. deitel.com/pydsft #livetraining @OReillyMedia #pearson @deitel

  5. Learn the language of choice for Generative AI, Predictive AI and Data Science! Join me Thursday, Jan. 15, 10 AM EST for my next code-intensive Python Full Throttle one-day webinar! deitel.com/PythonFT

    #pythonprogramming @OReillyMedia #Pearson #deitel

  6. Java users: Interested in using OpenAI's generative AI APIs in your Java apps? Check out my blog post, "Building OpenAI API-Based Python GenAI Applications," which guides you through the 13 examples in my new video lesson on O'Reilly Online Learning. We'll add more examples as we create them for the second edition of our Python suite of books and videos.

    deitel.com/2025/10/24/building

    #Java #OpenAI #genAI #APIs @OReillyMedia #Pearson #deitel

  7. Tuesday, Dec. 16th for my next Modern C++ Full Throttle: Intro to C++20/23 & the Standard Library deitel.com/CPPFT

    Intended for programmers with a background in another high-level language, this is a code-intensive presentation of C++ — the world’s most popular language for building high-performance, business-critical, and mission-critical applications.

    #C++ #ModernC++ @OReillyMedia #Pearson @deitel

  8. I just completed my Java Fundamentals video Lesson 19, Building API-Based Java Generative AI Applications (using OpenAI APIs and the official openai-java library). This lesson is under development and will grow beyond the 13 current examples.

    The first part of the lesson is staging now on O'Reilly. The rest will be processed and posted tomorrow.

    Watch for it here: learning.oreilly.com/course/ja

    #Java #GenAI #OpenAI #API @OReillyMedia #Pearson #Deitel

  9. Samsung Powers Pearson’s Revibe Smartwatch-based Solution to Help Children and Adults with Focus and Attention Challenges – Samsung Mobile Press

    Englewood Cliffs, N.J., – Oct. 29, 2025 – Children and adults face challenges with focus and attention. This…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Gadgets #AI #B2B #Enterprise #GalaxyWatch #KnoxSuite #Pearson #Revibe #SamsungKnox #Technology #Wearable
    newsbeep.com/us/264215/

  10. Samsung Powers Pearson’s Revibe Smartwatch-based Solution to Help Children and Adults with Focus and Attention Challenges – Samsung Mobile Press

    Englewood Cliffs, N.J., – Oct. 29, 2025 – Children and adults face challenges with focus and attention. This…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Gadgets #AI #B2B #Enterprise #GalaxyWatch #KnoxSuite #Pearson #Revibe #SamsungKnox #Technology #Wearable
    newsbeep.com/us/264215/

  11. europesays.com/uk/541107/ Samsung Powers Pearson’s Revibe Smartwatch-based Solution to Help Children and Adults with Focus and Attention Challenges – Samsung Mobile Press #AI #b2b #Enterprise #Gadgets #GalaxyWatch #KnoxSuite #Pearson #Revibe #SamsungKnox #Technology #UK #UnitedKingdom #Wearable

  12. Recording my Java video lesson on "Building API-Based Java Generative AI Applications" using the OpenAI APIs. Since our new Java books were published, OpenAI has released several new models and has been rapidly developing an official Java library (openai-java).

    So, we're rewriting the chapter, using this library. Hoping to have the videos posted as part of Java Fundamentals, 3/e, late next week. learning.oreilly.com/course/ja

    #OpenAI #Java #genAI #API @OReillyMedia #Pearson #deitel

  13. Build 13 Fully Coded OpenAI API-Based Python GenAI Apps!
    See deitel.com/openai-from-python for an overview of 30+ videos @ deitel.com/PyFun2e. Generate/manipulate text, code, images, audio & video. #Python #OpenAI #GenAI #Deitel @OReillyMedia #Pearson

  14. Migrants raise concerns over Australia’s English-language tests for visa applicants

    Apsara Raj speaks fluent English but the government doesn’t seem to believe her.  It doesn’t matter that English…
    #NewsBeep #News #Australia #AI #Artificialintelligence #AU #Education #Englishtests #IETLS #Language #learning #migration #Pearson #PTE #visa
    newsbeep.com/au/93605/

  15. Re: the crash of the Delta plane at Toronto Pearson today...

    In the safety briefing, they tell you that in the event that you need to evacuate the plane, you DO NOT STOP to get your carry-on luggage or anything else. You just go.

    And my partner just saw video from the crash, with some asshole coming out of the plane dragging a gigantic suitcase.

    The plane was upside-down, with wings broken off, and on fire. This was pretty much the textbook definition of "emergency evacuation".

    Hey, jerk, what if you slowing everything down to grab your oh-so-important suitcase resulted in people behind you burning to death?

    Can we find that guy, and charge him with something serious? "I'm too important to leave my carry-on behind, I don't care if it puts others at risk" is NOT OKAY.

    #asshole #YYZ #Pearson #Toronto #crash #aircraft #evacuation #evacuate #criminal #safety #CarryOn #luggage

  16. @data @datadon 🧵

    How to assess a statistical model?
    How to choose between variables?

    Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.

    If monotonic relationship:
    "#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
    "#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
    Ref: statisticseasily.com/kendall-t

    #normality #normalDistribution #modeling #dataDev #AIDev #ML #modelEvaluation #regression #modelling #dataLearning #featureEngineering #linearRegression #modeling #probability #probabilities #statistics #stats #correctionRatio #ML #Pearson #bias #regressionRedress #distributions

  17. @data @datadon 🧵

    How to assess a statistical model?
    How to choose between variables?

    Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.

    If monotonic relationship:
    "#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
    "#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
    Ref: statisticseasily.com/kendall-t

    #normality #normalDistribution #modeling #dataDev #AIDev #ML #modelEvaluation #regression #modelling #dataLearning #featureEngineering #linearRegression #modeling #probability #probabilities #statistics #stats #correctionRatio #ML #Pearson #bias #regressionRedress #distributions

  18. @[email protected] @[email protected] 🧵

    How to assess a statistical model?
    How to choose between variables?

    Pearson's is irrelevant if you suspect that the relationship is not a straight line.

    If monotonic relationship:
    "’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
    "’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
    Ref: statisticseasily.com/kendall-t

  19. @data @datadon 🧵

    How to assess a statistical model?
    How to choose between variables?

    Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.

    If monotonic relationship:
    "#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
    "#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
    Ref: statisticseasily.com/kendall-t

    #normality #normalDistribution #modeling #dataDev #AIDev #ML #modelEvaluation #regression #modelling #dataLearning #featureEngineering #linearRegression #modeling #probability #probabilities #statistics #stats #correctionRatio #ML #Pearson #bias #regressionRedress #distributions

  20. @data @datadon 🧵

    How to assess a statistical model?
    How to choose between variables?

    Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.

    If monotonic relationship:
    "#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
    "#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
    Ref: statisticseasily.com/kendall-t

    #normality #normalDistribution #modeling #dataDev #AIDev #ML #modelEvaluation #regression #modelling #dataLearning #featureEngineering #linearRegression #modeling #probability #probabilities #statistics #stats #correctionRatio #ML #Pearson #bias #regressionRedress #distributions

  21. From a conversation with a friend on a recent Facebook post. A memory of a memory, #academic ghosts haunting the dusty rooms of my brain.

    I once spent a very enjoyable afternoon in the #University of #Minnesota #Biostatistics department library reading through century-old bound volumes of #Biometrika, which is now a somewhat obscure #journal, but was in its day instrumental to the development of #statistics. All the great names were there—#Yule, #Pearson, #Fisher, et al.—and it was a clubby little world back then. Everybody who was anybody in statistics knew everybody else.

    Just like today, they used a lot of space in their papers refuting each other’s papers. But the writing style was completely different, much more personal: many of the papers read more like conversations than the structured, pedantic language of modern journal articles in practically every field. “First I tried this, but it didn’t work, so next I …” “Like I said to so-and-so in a recent letter …” “According to whosit, such-and-such is true, but frankly, whosit is an idiot.”

    Well, I recognized what they were doing: forming #cliques and having slow-motion #flamewars. Everything old is new again. Sometimes I wonder if we wouldn’t be better off stripping out the modern pretense of detachment.

  22. From a conversation with a friend on a recent Facebook post. A memory of a memory, #academic ghosts haunting the dusty rooms of my brain.

    I once spent a very enjoyable afternoon in the #University of #Minnesota #Biostatistics department library reading through century-old bound volumes of #Biometrika, which is now a somewhat obscure #journal, but was in its day instrumental to the development of #statistics. All the great names were there—#Yule, #Pearson, #Fisher, et al.—and it was a clubby little world back then. Everybody who was anybody in statistics knew everybody else.

    Just like today, they used a lot of space in their papers refuting each other’s papers. But the writing style was completely different, much more personal: many of the papers read more like conversations than the structured, pedantic language of modern journal articles in practically every field. “First I tried this, but it didn’t work, so next I …” “Like I said to so-and-so in a recent letter …” “According to whosit, such-and-such is true, but frankly, whosit is an idiot.”

    Well, I recognized what they were doing: forming #cliques and having slow-motion #flamewars. Everything old is new again. Sometimes I wonder if we wouldn’t be better off stripping out the modern pretense of detachment.