Data Science and Machine learning (with R and Python)
About Course
Data science ranked # no 1 job. With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as data science and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.
About Faculty:
Target Audience:
UG/PG Computer/IT Students
Duration:24 Hour
Course:
| Sr No | Content |
|---|---|
| 1 | Introduction of machine learning and data science. |
| 2 | Linear regression, Gradient decent |
| 3 | Logistic Regression, Support Vector Machine, Dimensionality reduction |
| 4 | Neural network: Perceptron, multilayer network, back propagation |
| 5 | Clustering: k-means, adaptive hierarchical clustering, and Gaussian mixture model. |
| 6 | deep neural network :CNN,LSTM |