GNEST305 Introduction to Artificial Intelligence and Data Science KTU BTech S3 2024 Scheme - Dr Binu V P
About Me Course Details and Syllabus GNEST305 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 Analysis Vectors in Machine Learning Vector Spaces and Subspaces Row space ,column space and null space Matrix Deco...