GNEST305 Introduction to Artificial Intelligence and Data Science KTU BTech S3 2024 Scheme - Dr Binu V P
About Me Course Details and Syllabus GNEST305 Model Question Paper GNEST305 AI and Data Science Model Question Paper Answers GNEST305 AI and Data Science For the Implementation learn Python and R Python for Machine Learning R For Statistics/Data Science Module-1 Introduction to AI and Machine Learning Basics of Machine Learning Types of Machine Learning Comparison supervised,unsupervised and reinforcement learning How typical machine learning system works Challenges of Machine Learning Generalization- Bias -Variance Trade-off Supervised Learning- Linear and Logistic Regression Gradient Descent Unsupervised Learning- K Means Clustering Artificial Neural Networks - Perceptron Multilayer Perceptron and Backpropagation Universal Approximation Theorem(UAT) Regression using MLP Classification using MLP Classification Assessment Module-2 Mathematical Foundations of AI and Data Science The Role of Linear Algebra in Data Representation and Analysi...