CS771: Machine Learning Techniques

4.0 (4 ratings)
1 Student
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5 Modules
0 Lessons

Instructor: Dr. Amit Verma

Curriculum (Preview - 5 of 5 modules)

Module 1: Introduction to Machine Learning

ML paradigms (supervised, unsupervised, reinforcement), bias-variance tradeoff,...

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Module 2: Linear Models

Linear regression, logistic regression, gradient descent, regularization (L1, L2...

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Module 3: Kernel Methods and SVMs

Support Vector Machines, kernel trick, RBF and polynomial kernels, soft-margin S...

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Module 4: Tree-based and Ensemble Methods

Decision trees, random forests, boosting (AdaBoost, Gradient Boosting, XGBoost),...

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Module 5: Neural Networks and Deep Learning

Perceptrons, multi-layer networks, backpropagation, activation functions, CNNs i...

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About Your Instructor

Dr. Amit Verma

3.9 Instructor Rating
2 Learners
3 Courses

Co-instructors

Ms. Deepika Nair

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CS771: Machine Learning Techniques

Curriculum (Preview - 5 of 5 modules)

Module 1: Introduction to Machine Learning

Module 2: Linear Models

Module 3: Kernel Methods and SVMs

Module 4: Tree-based and Ensemble Methods

Module 5: Neural Networks and Deep Learning

Get Full Access to Complete Curriculum

About Your Instructor

Co-instructors

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