Канал: EduFlair KTU CS

Gradient Descent Vs Stochastic Gradient Descent

Gradient Descent Vs Stochastic Gradient Descent

Linear vs Logistic Regression

Linear vs Logistic Regression

Classification Vs Regression

Classification Vs Regression

Echelon form and Inverse of a Matrix using Gaussian Elimination

Echelon form and Inverse of a Matrix using Gaussian Elimination

Decision Tree problem / Finding Best Split using Information Gain

Decision Tree problem / Finding Best Split using Information Gain

Issues in Decision tree learning / KTU Machine Learning

Issues in Decision tree learning / KTU Machine Learning

Structure in C programming

Structure in C programming

Array access using pointers in C programming

Array access using pointers in C programming

Storage classes in C - part 2 (Static and Extern)

Storage classes in C - part 2 (Static and Extern)

Matrix addition in C programming EST102

Matrix addition in C programming EST102

Matrix multiplication in C programming EST102

Matrix multiplication in C programming EST102

C Program to count vowels in a String

C Program to count vowels in a String

Program for Inserting element into array in C

Program for Inserting element into array in C

Program for deleting element from array in C

Program for deleting element from array in C

Email security in network security

Email security in network security

Decision tree - Entropy and Information gain with Example

Decision tree - Entropy and Information gain with Example

Loops - while loop in C

Loops - while loop in C

for loop in C programming with example

for loop in C programming with example

Internet Key Exchange (IKE) - Phases

Internet Key Exchange (IKE) - Phases

Expectation maximization algorithm / KTU Machine Learning

Expectation maximization algorithm / KTU Machine Learning

Soft Margin Hyperplane or Soft SVM / KTU Machine learning

Soft Margin Hyperplane or Soft SVM / KTU Machine learning

Support vector machine (SVM) - part 2 / Mathematical formulation of SVM / KTU Machine learning

Support vector machine (SVM) - part 2 / Mathematical formulation of SVM / KTU Machine learning

Basics of Support Vector Machine - part 1 / KTU Machine Learning

Basics of Support Vector Machine - part 1 / KTU Machine Learning

Hierarchical Clustering - Problem / Complete linkage / KTU Machine learning

Hierarchical Clustering - Problem / Complete linkage / KTU Machine learning

Hierarchical clustering - Agglomerative and Divisive method/ KTU / Machine learning

Hierarchical clustering - Agglomerative and Divisive method/ KTU / Machine learning

K-means Clustering Example / KTU Machine learning

K-means Clustering Example / KTU Machine learning

K-means Clustering algorithm / KTU Machine learning

K-means Clustering algorithm / KTU Machine learning

ML estimate of Poisson and Geometric distribution

ML estimate of Poisson and Geometric distribution

Maximum likelihood estimation (MLE) / Parameter estimation of Bernoulli / KTU Machine learning

Maximum likelihood estimation (MLE) / Parameter estimation of Bernoulli / KTU Machine learning

Naive bayes or bayesian classifier problem / KTU Machine learning

Naive bayes or bayesian classifier problem / KTU Machine learning

Bayesian classifier / Naive bayes algorithm / KTU Machine learning

Bayesian classifier / Naive bayes algorithm / KTU Machine learning

Bayes theorem with problems solved / KTU machine learning

Bayes theorem with problems solved / KTU machine learning

ROC Curve - Example / KTU Machine learning

ROC Curve - Example / KTU Machine learning

ROC Curve and AUC / KTU / Machine learning

ROC Curve and AUC / KTU / Machine learning

Precision and Recall - Problems / KTU / Machine learning

Precision and Recall - Problems / KTU / Machine learning

Precision and Recall / TP FP TN FN / Confusion matrix / KTU / Machine learning

Precision and Recall / TP FP TN FN / Confusion matrix / KTU / Machine learning

Cross validation and re-sampling methods / KTU / Machine Learning

Cross validation and re-sampling methods / KTU / Machine Learning

PCA problem / How to compute principal components / KTU Machine learning

PCA problem / How to compute principal components / KTU Machine learning

Principal Component Analysis (PCA) / KTU CS / Machine Learning

Principal Component Analysis (PCA) / KTU CS / Machine Learning

Dimensionality reduction - Subset selection / KTU / Machine learning

Dimensionality reduction - Subset selection / KTU / Machine learning

Model selection and Generalisation / KTU CS / Machine learning

Model selection and Generalisation / KTU CS / Machine learning

Learning multiple classes / One-vs-One / One-vs-All / KTU CS/ Machine learning

Learning multiple classes / One-vs-One / One-vs-All / KTU CS/ Machine learning

Probably Approximately Correct Learning (PAC) / KTU / Machine learning

Probably Approximately Correct Learning (PAC) / KTU / Machine learning

VC Dimension - Examples / KTU CS / Machine learning

VC Dimension - Examples / KTU CS / Machine learning

Vapnik Chervonenkis (VC) dimension / KTU CS / Machine learning

Vapnik Chervonenkis (VC) dimension / KTU CS / Machine learning