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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

Monoalphabetic Substitution Cipher Techniques

  Monoalphabetic Substitution Cipher, also known as a simple substitution cipher, relies (depends) on a fixed replacement structure. That is substitution is fixed for each letter of the alphabet.  A simple example is where each letter is encrypted as the next letter in the alphabet: "a simple message" becomes "B TJNQMF NFTTBHF". Each letter can be encrypted to any symbol [&,%,?,/,*,{},@,~,+,-] not just another letter. 1.) Additive Cipher The Simplest Monoalphabetic cipher is an Additive cipher. This cipher is sometimes called Shift Cipher. When the Cipher is Additive, the Plain Text, Cipher Text and key are integers in Z(26). For Encryption: C = (p + k) mod 26 For Decryption: P = (c - k) mod 26 Where, C = Cipher Text                   P = Plain Text                   k = Key  The secret key between Alice and Bob is also an integer value. The encryption Algorithm adds the key to t...
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