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#decision-trees — Public Fediverse posts

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  1. 🌳🤔 Ah yes, the ancient #mystique of decision trees, where basic math and common sense masquerade as #AI wizardry. Who knew identifying trees with a ruler and a tape measure could be hailed as cutting-edge computer science? 🎩📏
    mlu-explain.github.io/decision #decisiontrees #computerscience #mathinscience #innovation #HackerNews #ngated

  2. 🌳🤔 Ah yes, the ancient #mystique of decision trees, where basic math and common sense masquerade as #AI wizardry. Who knew identifying trees with a ruler and a tape measure could be hailed as cutting-edge computer science? 🎩📏
    mlu-explain.github.io/decision #decisiontrees #computerscience #mathinscience #innovation #HackerNews #ngated

  3. Oh, look! Yet another AI framework claiming to solve the world's problems by turning simple tasks into a tangled mess of decision trees! 🌳🤖 Spoiler alert: the real "coordination" needed is between the developers and their delusions of grandeur. 😂
    june.kim/cord #AIframeworks #DelusionsOfGrandeur #DecisionTrees #TechHumor #CoordinationIssues #HackerNews #ngated

  4. Oh, look! Yet another AI framework claiming to solve the world's problems by turning simple tasks into a tangled mess of decision trees! 🌳🤖 Spoiler alert: the real "coordination" needed is between the developers and their delusions of grandeur. 😂
    june.kim/cord #AIframeworks #DelusionsOfGrandeur #DecisionTrees #TechHumor #CoordinationIssues #HackerNews #ngated

  5. Before diving into deep learning hype, remember the power of classic algorithms. Linear regression, decision trees, and thoughtful feature engineering still drive real‑world analytics and revenue. Master these fundamentals and your neural nets will perform better, faster, and cheaper. Curious how the basics outpace the buzz? Read on. #NeuralNetworks #LinearRegression #DecisionTrees #FeatureEngineering

    🔗 aidailypost.com/news/master-fu

  6. Excited to attend my first PhD defence at TU Delft: Daniël Vos will be defending his thesis "Decision Tree Learning: Algorithms for Robust Prediction and Policy Optimization", containing work he did under supervision of Prof. Dr. Ir. R.L. Lagendijk and Dr. Ir. Sicco Verwer.

    #AcademicMastodon #AcademicChatter #PhDLife #Delft #TUDelft #DelftUniversityOfTechnology #Dissertation #Defence #PhD #PhDDefence #DecisionTrees #Optimization #Optimisation #Algorithms #ExplainableAI #RobustOptimization #RobustAI #Defense #PhDDefense

  7. Excited to attend my first PhD defence at TU Delft: Daniël Vos will be defending his thesis "Decision Tree Learning: Algorithms for Robust Prediction and Policy Optimization", containing work he did under supervision of Prof. Dr. Ir. R.L. Lagendijk and Dr. Ir. Sicco Verwer.

    #AcademicMastodon #AcademicChatter #PhDLife #Delft #TUDelft #DelftUniversityOfTechnology #Dissertation #Defence #PhD #PhDDefence #DecisionTrees #Optimization #Optimisation #Algorithms #ExplainableAI #RobustOptimization #RobustAI #Defense #PhDDefense

  8. Unlock the power of Decision Tree Splits! Dive into Gini Index calculations and master Python implementation. Learn how to optimize your machine learning models with step-by-step guides and practical examples. #DecisionTrees #MachineLearning #PythonCod

    teguhteja.id/decision-tree-spl

  9. Unlock the power of Decision Tree Splits! Dive into Gini Index calculations and master Python implementation. Learn how to optimize your machine learning models with step-by-step guides and practical examples. #DecisionTrees #MachineLearning #PythonCod

    teguhteja.id/decision-tree-spl

  10. Unlock the power of Decision Tree Hyperparameter Tuning! Learn to optimize your models using GridSearchCV. Boost accuracy and prevent overfitting. #MachineLearning #DecisionTrees #Optimization

    teguhteja.id/decision-tree-hyp

  11. Unlock the power of Decision Tree Hyperparameter Tuning! Learn to optimize your models using GridSearchCV. Boost accuracy and prevent overfitting. #MachineLearning #DecisionTrees #Optimization

    teguhteja.id/decision-tree-hyp

  12. One question for the #MachineLearning people: what approach do you use to determine if a decision trees or a random forest approach should work better? Do you simply try both approaches and use whatever seems to work better?

    According to what I read, decision trees are more prone to overfitting, while random forest is a more complex approach. Which means little to me 😅

    #ml #DecisionTrees #RandomForest #Overfitting

  13. One question for the #MachineLearning people: what approach do you use to determine if a decision trees or a random forest approach should work better? Do you simply try both approaches and use whatever seems to work better?

    According to what I read, decision trees are more prone to overfitting, while random forest is a more complex approach. Which means little to me 😅

    #ml #DecisionTrees #RandomForest #Overfitting

  14. Hey friends in #networkscience #machinelearning #datascience - does someone have code for a configuration model for tree #graphs, tree #networks, or #decisiontrees? I don't want to reinvent the wheel if it's already out there #netsci #ml

  15. Hey friends in #networkscience #machinelearning #datascience - does someone have code for a configuration model for tree #graphs, tree #networks, or #decisiontrees? I don't want to reinvent the wheel if it's already out there #netsci #ml

  16. On Monday Nov 21st, we'll have another R-ladies book club session 🤗 We will discuss decision trees and bagging 🌲👜 Chapters 9&10 from Hands-on Machine Learning with R.

    Want to join us? More info here 👇
    meetu.ps/e/LCRQs/vb6QR/i

    #rstats #rladies #bookclub #RLadiesDenBosch #RLadiesUtrecht #DecisionTrees #bagging #MachineLearning #HandsOnMachineLearningWithR

  17. On Monday Nov 21st, we'll have another R-ladies book club session 🤗 We will discuss decision trees and bagging 🌲👜 Chapters 9&10 from Hands-on Machine Learning with R.

    Want to join us? More info here 👇
    meetu.ps/e/LCRQs/vb6QR/i

    #rstats #rladies #bookclub #RLadiesDenBosch #RLadiesUtrecht #DecisionTrees #bagging #MachineLearning #HandsOnMachineLearningWithR