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

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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

What is the difference between & and &&?

Operators are the basic concept of any programming language, used to build a foundation in programming. Different Types of Operators are: - 1. Arithmetic Operators ( +, -, *, /, % ) 2. Relational Operators ( =, !=, <, >, >=, <= ) 3. Logical Operators (&& AND, || OR, ! NOT ) 4. Assignment Operators (=, +=, -=, *=, /=, %=) 5. Bitwise Operators ( & Bitwise AND, << Left Shift, >> Right Shift, | Bitwise OR ) 6. Miscellaneous Operators ( sizeof, &pointer, *pointer, ? condition ) Difference between & and &&: - && = AND OPERATOR For example, here it is used a, b (a && b) AND: Used to check if both the operands(a,b) are true. & = Bitwise AND For example, ( a & b ) Bitwise AND: Converts the value of both the operands into binary form and performs AND- operation bit by bit.
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