Decision trees – the unreasonable power of nested decision rules

https://mlu-explain.github.io/decision-tree/

#HackerNews #DecisionTrees #NestedDecisionRules #MachineLearning #DataScience #AIInsights

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

🔗 https://aidailypost.com/news/master-fundamentals-before-neural-networks-core-algorithms-power

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

Interesting post on #decisionTrees for #designSystems #components: https://www.linkedin.com/pulse/decision-trees-ui-components-vitaly-friedman-chgae/

They are a great way of helping folks pick the right component or #designToken.

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

https://teguhteja.id/decision-tree-splits-mastering-gini-index-and-python-implementation/

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

https://teguhteja.id/decision-tree-hyperparameter-tuning-optimizing-machine-learning-models/

“How To Use A Decision Table Methodology To Analyze Complex Conditional Actions Requirements In Software Development” [2004], D Robert Baker (https://www.methodsandtools.com/archive/archive.php?id=39).

Via HN: https://news.ycombinator.com/item?id=38821708

#DecisionTables #DecisionTrees #Programming

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