Learn · Machine Learning (Ml) In Hindi
Lecture 26 of 55Week 7
Support Vector Machines (SVM)
Prof. Anubha Gupta · IIIT Delhi
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- Machine Learning (Ml) In Hindi, IIIT Delhi (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures
- Introduction to Machine Learning
- Linear Algebra: Review (Vector Spaces)
- Linear Algebra: Review (Matrices)
- Probability Theory: Review (Basics of Probability)
- Probability Theory: Review (Random Variables)
- Linear Regression
- Linear Regression
- Tutorial: Linear Regression
- Linear Regression
- Linear Kernel Regression
- k-Nearest Neighbour (k-NN) Regression
- Tutorial: k-NN Regression
- Tutorial: Kernel Regression
- Logistic Regression: Classification Evaluation Metrics
- Logistic Regression
- Logistic Regression: Examples
- Tutorial: Logistic Regression
- Neural Networks
- Neural Networks
- Neural Networks: Examples
- Tutorial: Neural Networks
- Practical Machine Learning
- Practical Machine Learning - Part 2
- Practical Machine Learning - Part 3
- Practical Machine Learning - Part 4
- Support Vector Machines (SVM)
- Tutorial: Support Vector Machines (SVM)
- Kernel Support Vector Machines (k-SVM)
- Naïve Bayes Classification
- Decision Trees - Part 1
- Decision Trees - Part 2
- Tutorial: Naïve Bayes Classification
- Tutorial: Decision Trees
- k-NN Classifier
- Ensemble Learning
- Random Forests
- Bagging (Bootstrap AGGregatING)
- Tutorial: Random Forests
- Tutorial: k-NN Classifier & Bootstrap AGGregatING (Bagging)
- Boosting
- Clustering
- k-means Clustering
- Tutorial: Boosting
- Spectral Clustering
- Mixture of Models (Gaussian Mixture Models-GMM)
- Dimensionality Reduction: Principal Component Analysis (PCA) & kernel PCA
- Tutorial: k-means and Spectral Clustering
- Tutorial: Principal Component Analysis (PCA) and Gaussian Mixture Models (GMM)
- Introduction to Deep Learning (DL)
- Convolutional Neural Networks (CNN): Part A
- Convolutional Neural Networks (CNN): Part B
- Autoencoders
- Applications of ML in Healthcare Problems: Part 1
- Applications of ML in Healthcare Problems: Part 2
- Tutorial: CNN and Autoencoder