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Hidden Markov Model (HMM)

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Hidden Markov Model (HMM)  VIDEO LINK:  https://youtu.be/YIGCWNG8BIA A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. Video Chapters: HMM in Artificial Intelligence 00:00 Introduction 00:31 Statistical Model 00:54 HMM Examples 02:30 HMM 03:10 HMM Components 05:23 Viterbi Algorithm 06:23 HMM Applications 06:38 HMM Problems 07:28 HMM in Handwriting Recognition 11:20 Conclusion  HMM COMPONENTS A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. An HMM consists of states, observations, transition probabilities, emission probabilities, and initial probabilities. It is commonly used in a...
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What is the difference between & and &&?

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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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