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Mahesh Huddar
Индия
Добавлен 14 сен 2017
Mahesh Huddar channel provides Tutorials on many Computer Science and Engineering Subjects Like:
Artificial Intelligence,
Soft Computing,
Machine Learning,
Big Data Analytics,
Cryptography and Network Security
Python Programming,
C++ Programming,
Java Programming,
Data Science,
Computer Graphics,
Aptitude Preparation,
Technical Interview Preparation,
GATE CSE,
VTU Latest Updates,
Mini and Final Year Projects.
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Artificial Intelligence,
Soft Computing,
Machine Learning,
Big Data Analytics,
Cryptography and Network Security
Python Programming,
C++ Programming,
Java Programming,
Data Science,
Computer Graphics,
Aptitude Preparation,
Technical Interview Preparation,
GATE CSE,
VTU Latest Updates,
Mini and Final Year Projects.
Follow Us on:
1. Blog / Website: www.vtupulse.com/
2. Like Facebook Page: VTUPulse
3. Follow us on Instagram: vtupulse
4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates
Видео
FIFO Page Replacement Algorithm Operating Systems Solved Example Beladys Anomaly by Mahesh Huddar
Просмотров 1412 дня назад
FIFO Page Replacement Algorithm Operating Systems Solved Example Beladys Anomaly by Mahesh Huddar The following concepts are discussed: fifo page replacement algorithm in hindi code, fifo page replacement algorithm, fifo page replacement algorithm example, fifo algorithm, page replacement algorithm in hindi, fifo page replacement algorithm numerical, beladys anomaly, belady's anomaly in operati...
Shannon Fano Coding | Image Compression | Huffman Coding | Digital Image Processing by Mahesh Huddar
Просмотров 923 дня назад
Shannon Fano Coding | Huffman Coding | Image Compression | Digital Image Processing by Mahesh Huddar The following concepts are discussed: Shannon Fano coding example, what is Shannon Fano code, Shannon Fano code example, Shannon Fano coding, how to calculate Shannon Fano code, example Shannon Fano, solved question Shannon Fano, efficiency Shannon fano, Shannon Fano coding algorithm, Shannon Fa...
What is Entropy on Image and How to Calculate Entropy of an Image in DIP by Mahesh Huddar
Просмотров 5714 дня назад
What is Entropy on Image and How to Calculate Entropy of an Image in DIP by Mahesh Huddar The following concepts are discussed: Image compression, Image segmentation, Image quality assessment, Feature extraction, Image compression in DIP, Image segmentation in DIP, Image quality assessment in DIP Feature extraction in DIP, entropy of image, image entropy, entropy in DIp, entropy in image proces...
Bisecting K Means Clustering Solved Example K Means Clustering in Machine Learning by Mahesh Huddar
Просмотров 3,7 тыс.16 дней назад
Bisecting K Means Clustering Solved Example K Means Clustering Algorithm in Machine Learning by Mahesh Huddar The following concepts are discussed: Bisecting K-Means Clustering, Bisecting K-Means, Bisecting K-Means Clustering solved example, Bisecting K-Means solved example, Bisecting K-Means Clustering numerical, Bisecting K-Means numerical, Bisecting K-Means Clustering Algorithm, bisecting K-...
Bisecting K-Means Clustering Algorithm Solved Numerical Example in Machine Learning by Mahesh Huddar
Просмотров 1,9 тыс.18 дней назад
Bisecting K-Means Clustering Algorithm Solved Numerical Example in Machine Learning by Mahesh Huddar The following concepts are discussed: Bisecting K-Means Clustering, Bisecting K-Means, Bisecting K-Means Clustering Algorithm, bisecting K-Means in machine learning, Bisecting K-Means Clustering in machine learning, K-Means Clustering, Bisecting K-Means Clustering Algorithm, bisecting k means vi...
6. KNN Example | K Nearest Neighbour Algorithm Solved Example in Machine Learning by Mahesh Huddar
Просмотров 3,4 тыс.21 день назад
6. KNN Solved Example | K Nearest Neighbour Algorithm Solved Example 6 in Machine Learning by Mahesh Huddar A factory is producing papers. The quality control unit applies two types of testing (durability test and strength test) to assess paper quality. The data for the same is given in table. Use k-nearest neighbor (KNN) with k = 1, and 3 to predict the quality of a new paper (durability = 5, ...
5. Types of Attributes in DBMS | Attributes in DBMS Examples | Attributes in database Mahesh Huddar
Просмотров 35524 дня назад
5. Types of Attributes in DBMS | Attributes in DBMS Examples | Attributes in Database Management System by Mahesh Huddar The following concepts are discussed: Types of Attributes, Types of Attributes in DBMS, attributes in DBMS, simple attributes in dbms, composite attributes in dbms, single-valued attributes in dbms, multi-valued attributes in dbms, derived attributes in dbms, key attributes i...
Simplified Memory Bounded A Star Search Algorithm | SMA* Search | Solved Example in by Mahesh Huddar
Просмотров 3,2 тыс.29 дней назад
SMA* Search Algorithm | Simplified Memory Bounded A Star Search Algorithm Solved Example in Artificial Intelligence by Mahesh Huddar The following concepts are discussed: SMA* Search, SMA*, SMA* Search in artificial intelligence, SMA star search in artificial intelligence, SMA star search, SMA* Search Algorithm, SMA* Search solved example, SMA* solved example, SMA star search solved example, SM...
17. Membership Value of Isosceles Equilateral Right Angled Triangle in Fuzzy Logic by Mahesh Huddar
Просмотров 1,6 тыс.Месяц назад
17. Membership Value of Isosceles Equilateral Right Angled Triangle in Fuzzy Logic by Mahesh Huddar The following concepts are discussed: Membership Value, Membership Value fuzzy logic, Membership Value of Isosceles, Membership Value of Equilateral, Membership Value of Right Angled Triangle, Membership Value in Fuzzy Logic, Membership Value, Membership Value fuzzy logic, Membership Value of Iso...
2. Principle Component Analysis | PCA Solved Example | PCA Step-by-Step Solution by Mahesh Huddar
Просмотров 9 тыс.Месяц назад
2. Principle Component Analysis | PCA Solved Example | PCA Step-by-Step Solution in Machine Learning by Mahesh Huddar PCA Algorithm: ruclips.net/video/lb8-J4PREu0/видео.html #1. PCA Solved Example: ruclips.net/video/ZtS6sQUAh0c/видео.html #2. PCA Solved Example: ruclips.net/video/XO0US1aTA50/видео.html The following concepts are discussed: principal component analysis, pca machine learning, pri...
2. SVD | Singular Value Decomposition | Dimensionality Reduction | Solved Example by Mahesh Huddar
Просмотров 3,3 тыс.Месяц назад
2. SVD Singular Value Decomposition in Dimensionality Reduction Solved Example in Machine Learning by Mahesh Huddar SVD is a popular image transform technique. It has lot of applications in dimensionality reduction, image restoration, compression, and object recognition. The SVD transform requires the given matrix 𝐴 to be factored into matrices 𝑈, Σ, 𝑎𝑛𝑑 𝑉^𝑇 #1. SVD Singular Value Decomposition...
Playfair Cipher Solved Example for Encryption and Decryption in Cryptography CNS by Mahesh Huddar
Просмотров 393Месяц назад
Playfair Cipher Solved Example for Encryption and Decryption in Cryptography and Network Security by Mahesh Huddar Use Playfair cipher to encrypt the plaintext instruments using key Monarchy. Also, decrypt the ciphertext into plaintext. The following concepts are discussed: how playfair cipher works, playfair cipher, playfair cipher cryptography, playfair cipher encryption, encryption in playfa...
2. Hill Cipher Solved Example 3x3 Key Matrix | Hill Cipher Encryption and Decryption Mahesh Huddar
Просмотров 468Месяц назад
2. Hill Cipher Solved Example 3x3 Key Matrix Hill Cipher Encryption and Decryption Cryptography and Network Security by Mahesh Huddar 1. Hill Cipher Solved Example: ruclips.net/video/NNEAmhOE9LM/видео.html 2. Hill Cipher Solved Example: ruclips.net/video/2PAFBS8Vvmg/видео.html The following concepts are discussed: hill cipher, hill cipher algorithm, hill cipher encryption, encryption in Hill Ci...
1. Hill Cipher Solved Example 2x2 Key Matrix | Hill Cipher Encryption and Decryption Mahesh Huddar
Просмотров 1,7 тыс.Месяц назад
1. Hill Cipher Solved Example 2x2 Key Matrix Hill Cipher Encryption and Decryption Cryptography and Network Security by Mahesh Huddar 1. Hill Cipher Solved Example: ruclips.net/video/NNEAmhOE9LM/видео.html 2. Hill Cipher Solved Example: ruclips.net/video/2PAFBS8Vvmg/видео.html The following concepts are discussed: hill cipher, hill cipher algorithm, hill cipher encryption, encryption in Hill Ci...
14. Membership Functions and Features of Membership Functions in Fuzzy Logic by Mahesh Huddar
Просмотров 1,6 тыс.Месяц назад
14. Membership Functions and Features of Membership Functions in Fuzzy Logic by Mahesh Huddar The following concepts are discussed: Membership Functions, Features of Membership Functions, Fuzzy Logic, Membership Functions in fuzzy logic, Membership Functions in fuzzy sets, Features of Membership Functions Fuzzy Logic, core of membership function, support of membership function, Boundary of memb...
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it was good vedio but too fast paced for persons that english is their secouend language especially with indian language
Watch at 0.75x speed
Are u the same guy as Mahesh Dalle?
Who is that..?
How to start epoch 2?
thank u sir
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how many iterations performed here
Utill the clusters converge That no data points move from one cluster to other
I am enjoying the comment section 😇😂
Very nicely explained this topic, best video on this topic i found till now.thank you so much sir for this wonderful concept ❣️🙏
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Mahesh huddar sir can u pls provide videos on internet of things 🙏 😔 😭 also pls sir you helped me a lot during ml
I will upload soon
@@MaheshHuddar sir should i send the portions of iot i am from vit
Very helpful❤
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plz continue this videos
I Will
terbaik 👍🏻
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Thank you :)
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in 7:17 split point is added. I believe some calculations have problem.
Can you please elaborate
This was the eaxct kinda video I was searching for that clearly explains how to calculate,re-calculate the Centroid. Thanks so much! Liked and subscribed!
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Thanks for this
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awesome explanation
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easy explanation ! take a bow
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I have watched your playlist for data mining now watching again for machine learning.
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Simplest and perfect explanations. Great job.
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Tqs sir ❤. you did very well sir😊
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finally some1 how can explain things easy and fast
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🦖#THANKYOU
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Seeing this at sem exams💀
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Learning this before exam 2 hours lefts.thank you so much i understood esily.
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gawwwd for one day batters and one single vedio is enough that muhc of clarity is there just watching we are writing and cleared my exams . thank youu
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wow quite sinple
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Thank You
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Thankyou sir very well explained✨
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very well explained
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Please could you send me your email for helping me
SHORT AND CLEAR thank you
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I am seeing after exam 😂
Oh How was your exam...?
how did u know 33% support is 4/12 ?
33% means you need 1 out of 3, here we have 12 transactions hence 4 out of 12 is 33%
very clear thank you for the content
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Good sir easy understanding 👍🏻
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Your videos are so underrated.
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Simple language and easy explanation. Thank you so much.
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Sir what if i get same distances And to which cluster do i need to assign it
Randomly assigned to one cluster and continue with new iteration
Can I contact you to help me solve some questions in statistical inference?
Please share your questions to mailtomgh1@gmail.com
@@MaheshHuddar It doesn't appear to me
@@MaheshHuddar Maybe your Telegram account?
@@ninuuh what..?
@@MaheshHuddar There was an error sending. Please give me the Telegram account
God bless you bro.
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Well explained, keep going!
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Thanks
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Thank you
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Thanks great explained. As you discussed in lectures how to calculate hyperplane .in this lecture we also calculate hyperplane equation using alphha1,alpha2 and bais why we use different method
There are multiple ,methods. You can use based on your requiremnets
Thank you very much!!! It is very clear and concise explanation
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best
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your videos are so clear and u explain everything so clearly , really a great work !!
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Can we use manhattan formula insted of euclidean
Yes you can use any distance metric
Sema explain sir I have clearly understand TQ sir
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