Posts

Showing posts from July 2, 2021

New Post

Confusion Matrix with Real-Life Examples || Artificial Intelligence || ~...

Image
Learn about the Confusion Matrix with Real-Life Examples. A confusion matrix is a table that shows how well an AI model makes predictions. It compares the actual results with the predicted ones and tells which are right or wrong. It includes True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). Video Chapters: Confusion Matrix in Artificial Intelligence 00:00 Introduction 00:12 Confusion Matrix 03:48 Metrices Derived from Confusion Matrix 04:26 Confusion Matrix Example 1 05:44 Confusion Matrix Example 2 08:10 Confusion Matrix Real-Life Uses #artificialintelligence #machinelearning #confusionmatrix #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swarmintelligence #swarm #artificialintelligence #machinelearning

Artificial Bee Colony Optimization Algorithm Step-by-Step with Numerical...

Image
Artificial Bee Colony Optimization Algorithm is a Swarm Intelligence Population-Based Metaheuristic Bees are flying insects with wings. Algorithm. Artificial Bee Colony Optimization Algorithm is inspired by the behavior of bees in nature. We can use an Algorithm. Artificial Bee Colony Optimization Algorithm to solve different Engineering Optimization Problems, Numerical Problems.  Bees feed on nectar as Energy Source in their life. Algorithms Inspired by the behavior of the bees: Bees Algorithms Bee Hives Bee Colony Optimization Algorithm Artificial Bee Colony (ABC) Algorithm Marriage Bee Optimization (MBO) Algorithm Bee Algorithms are used to solve different problems.   Bee System: Genetics Problems. Bee Hive: Routing Protocols.  Honey Bee Marriage: Cluster Analysis.  Bee Colony Optimization: Travelling Salesman Problems (TSP), Vehicle Routing Problem, Ride Matching Problems, Job Scheduling Problems. Artificial Bee Colony Optimization: Engineering Problems, Numeric...
More posts