PGP in AI & Machine Learning syllabus covers AI fundamentals, programming, ML algorithms, deep learning, NLP, ethics, and practical projects.
The syllabus for a Post Graduate Program (PGP) in AI and Machine Learning is designed to provide students with a comprehensive understanding of artificial intelligence and machine learning technologies. It typically includes topics such as:
| S.No | Subjects |
| 1 | Introduction to Regression |
| 2 | Mathematics Foundations |
| 3 | Model Building using Least squares |
| 4 | Overview of Feature Engineering |
| 5 | Dimensionality Reduction |
| 6 | Introduction to Unsupervised Learning, Clustering |
| 7 | Topic modelling using LDA |
| 8 | Introduction to Sentiment Analysis |
| 9 | Artificial Neural Network |
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