Jyotiprakash Mishrablog.jyotiprakash.org·Dec 19, 2024From Branches to Forests: Decision Trees and Random Forests in PythonIn an era where data guides our decisions, the ability to derive meaningful insights from complex datasets is crucial. Machine learning offers powerful tools to achieve this, and among these, Decision Trees and Random Forests stand out for their uniq...259 readsinformation gain
Stephane Bersierbersier.hashnode.dev·Oct 21, 2024Continuous distribution entropyOne way to generalize the concept of entropy to continuous distributions is to introduce uncertainty when measuring a sample point from a continuous distribution. Without such measurement noise, a non-degenerate continuous distribution has infinite e...Entropy
Meemansha Priyadarshinimeemansha.hashnode.dev·Jul 11, 2024Decision Trees AlgorithmDecision Tree is a Supervised machine learning algorithm used for performing Classification and Regression tasks. How Decision Trees Work Suppose we have an classification dataset of some Yes and No Values. This dataset contains 14 observation of wea...decisiontree
Chaithanya Kumarcosmos98.hashnode.dev·Mar 17, 2024Entropy - The Fundamental Force That Governs Everything In The UniverseI'm always fascinated where curiosity takes me while learning Physics and In the recent times it has just been accelerated. It is like having a Child-Like curiosity and eagerness to Learn how things around us work by asking the most complex questions...2 likes·165 readsllm
Yuvraj Singhyuvraj01.hashnode.dev·Jul 24, 2023Impurity in Decision Trees: A Beginner's GuideI hope you are doing great so today we will discuss about some importatnt topics related to decision tree algorithm and these topics are concept of impurity and measures of impurity in decision tree. Wihtout any further delay let's get started Introd...28 readsWeMakeDevs
winston _ridgeway137 hardyholohead.org·Apr 27, 2023Connecting some key points of understanding in machine learning and information theory and involving at least a bit of physics with ChatGPT4.First I would like to start with the very fundamental topic of relating the ideas of entropy in the realm of information theory as first analyzed by Claude E. Shannon of Bell Labs and analyze its connections with the entropy of physics as first laid ...86 readsMachine Learning
Harsh Sharmasharmaharsh.hashnode.dev·Sep 5, 20222. Cryptography - Concept of Information, Entropy and more on HashingInformation Word "information" in communication theory relates not so much to what you do say, but instead as to what you could say. No. of choices we can make = Amount of Information If information is more predictable => It conveys less informatio...41 readsCryptography primer for DevelopersCryptography
