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AI_CA_1_AIRISH.R.PILLAI_B463

Name :- Airish Pillai Roll no :-B463 subject :- Artificial Intelligence  Prn no :- 2246491245509 Que :- Give a complete problem formulation for each of the following. Choose a formulation that is precise enough to be implemented. c. You have a program that outputs the message “illegal input record” when fed a certain file of input records. You know that processing of each record is  independent of the other records. You want to discover what record is illegal.  Ans :- To precisely formulate the problem where you need to discover the illegal input record in a file, you can frame it as follows: Problem Formulation Given: Input: A file containing a series of input records. Let the total number of records in the file be denoted as nn. A program that processes these records one by one and outputs the message "illegal input record" if a record is found to be illegal. Program: The program, when fed a record, will process the record and output either: "illegal input record"...
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Hard SVM

 Hard SVM Understanding Hard SVM: A Comprehensive Guide Introduction Support Vector Machines (SVM) are one of the most powerful and versatile machine learning algorithms used for classification and regression tasks. The Hard SVM, also known as the Hard Margin SVM, is a fundamental variant of SVM used for linearly separable data. This blog delves into the core concepts, mathematical foundations, and practical implementation of Hard SVM.  What is Hard SVM? Hard SVM is a type of SVM that assumes the data is perfectly linearly separable. This means there exists a hyperplane that can separate the data points of different classes without any errors. The goal of Hard SVM is to find the hyperplane that maximizes the margin between the two classes. The margin is defined as the distance between the hyperplane and the nearest data points from either class, known as support vectors. Mathematical Formulation Given a training dataset \((\mathbf{x}_i, y_i)\) where \(\mathbf{x}_i\) are the fe...
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