This channel is part of CSEdu4All, an educational initiative created by Profs. Arti Ramesh and Anand Seetharam from the State University of New York Binghamton. The goal of CSEdu4All is to make computer science education accessible to all!

We @CSEdu4All believe that CLIMATE CHANGE is real and all money earned through this channel is donated to the ArborDay Foundation (https://www.arborday.org), a non-profit organization that believes in creating positive change through trees.

Prof. Arti Ramesh obtained her PhD from University of Maryland, College Park. She is broadly interested in machine learning, data mining, and natural language processing. Her research interests include structured prediction, statistical relational modeling, natural language processing, probabilistic modeling. Her research focuses on structured prediction problems involving rich, complex, interlinked, heterogeneous data in online networks. She directs the Machine Learning Research Group at SUNY Binghamton.

Netru Illatha Maatram cover by Prof. Arti Ramesh
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Netru Illatha Maatram cover by Prof. Arti Ramesh
Telugu Song Mandara Mandara Cover by Prof. Arti Ramesh
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Telugu Song Mandara Mandara Cover by Prof. Arti Ramesh
Mukunda Mukunda Cover by Prof. Arti Ramesh
5:33
Mukunda Mukunda Cover by Prof. Arti Ramesh
Chinna Chinna Aasai Cover by Prof. Arti Ramesh
4:53
Chinna Chinna Aasai Cover by Prof. Arti Ramesh
Kaatrin Mozhi Cover by Prof. Arti Ramesh
5:49
Kaatrin Mozhi Cover by Prof. Arti Ramesh
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
11:45
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
Learning Fairness aware Relational Structures
11:50
Learning Fairness aware Relational Structures
GeoShred cover for Corrs Joy of Life with letter notes
1:14
GeoShred cover for Corrs Joy of Life with letter notes
GeoShred cover for Joy of Life by Corrs
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GeoShred cover for Joy of Life by Corrs
GeoShred cover for Toss the Feathers by Corrs
0:53
GeoShred cover for Toss the Feathers by Corrs
Welcome to my channel and our educational initiative CSEdu4All!
3:18
Welcome to my channel and our educational initiative CSEdu4All!
CSEdu4All: Making computer science education accessible to all!
0:13
CSEdu4All: Making computer science education accessible to all!
Decision Tree Scikit Learn Example
46:31
Decision Tree Scikit Learn Example
DeepFit: Deep Learning based Fitness Center Equipment Use Modeling and Prediction
2:37
DeepFit: Deep Learning based Fitness Center Equipment Use Modeling and Prediction
Example Problem explaining Support Vector Machines
9:13
Example Problem explaining Support Vector Machines
Support Vector Machines: Illustrative Example
19:57
Support Vector Machines: Illustrative Example
K nearest neighbors: Choosing k
14:51
K nearest neighbors: Choosing k
Naive Bayes: Example Problem
18:11
Naive Bayes: Example Problem
Understanding Point Estimation: Simple Example
7:40
Understanding Point Estimation: Simple Example
Point Estimation: Example problem 1
9:22
Point Estimation: Example problem 1
Bias Variance Tradeoff
16:49
Bias Variance Tradeoff
K Nearest Neighbors
24:08
K Nearest Neighbors
Kernels in Support Vector Machines (SVM)
18:24
Kernels in Support Vector Machines (SVM)
Non-separable Case in Support Vector Machines
25:02
Non-separable Case in Support Vector Machines
SMO Coordinate Ascent Algorithm in SVMs
8:26
SMO Coordinate Ascent Algorithm in SVMs
Support Vector Machines: Solving using Lagrange
23:11
Support Vector Machines: Solving using Lagrange
Primal Problem Formulation in Support Vector Machines
5:35
Primal Problem Formulation in Support Vector Machines
Lagrangian Dual Formulation in SVM
23:35
Lagrangian Dual Formulation in SVM
Margin in Support Vectors Machines
18:42
Margin in Support Vectors Machines
Introduction to Support Vector Machines - Part II
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Introduction to Support Vector Machines - Part II