Introduction To Machine Learning Week 5 || NPTEL ANSWERS | My Swayam |

Описание: Introduction To Machine Learning Week 5 || NPTEL ANSWERS | My Swayam | #nptel #nptel2025 #myswayam

📝 YouTube Description:
📘 Course: Introduction to Machine Learning – Week 5
🎓 Instructor: Prof. Balaraman Ravindran (IIT Madras)
📅 Course Duration: 21 Jul 2025 – 10 Oct 2025
📝 Exam Date: 25 Oct 2025
📚 Course Code: NOC25-CS91
🎯 Level: UG / PG
📌 Credit Points: 3
📘 NCrF Level: 4.5 – 8.0
📌 Language: English
👥 Intended Audience: BE / ME / MS / PhD
📖 Prerequisites: Programming + Basic Probability, Linear Algebra

Welcome to NPTEL 2025 Answer Series – My Swayam Edition!
This video covers Week 5recap concepts for Introduction to Machine Learning, one of the most in-demand courses taught by Prof. Balaraman Ravindran at IIT Madras.
Learn the mathematical foundations of ML along with core algorithms like SVMs, Decision Trees, Neural Networks, GMMs, EM, Ensemble Learning, and an introduction to Reinforcement Learning.

📘 Course Layout:

Week 0: Recap – Probability, Linear Algebra, Convex Optimization
Week 1: Intro to ML – Statistical Decision Theory, Bias-Variance
Week 2: Linear & Multivariate Regression, PCA, PLS
Week 3: Logistic Regression, LDA
Week 4: Perceptron, SVM
Week 5: Neural Networks – Backpropagation, Estimations (MLE, MAP, Bayesian)
Week 6: Decision Trees, Pruning, Evaluation
Week 7: Bagging, Boosting, ROC, Ensemble Methods
Week 8: Random Forests, Naive Bayes, Bayesian Networks
Week 9: HMMs, Belief Propagation
Week 10: Clustering – K-Means, CURE, BIRCH, DBSCAN
Week 11: GMM, EM Algorithm
Week 12: Learning Theory & Intro to RL

📚 Recommended Books:

The Elements of Statistical Learning – Hastie, Tibshirani, Friedman
Pattern Recognition and Machine Learning – C. Bishop (Optional)

📥 Weekly Notes & Answer PDFs
👉 https://forms.gle/hZ3NsFDdJQz1BHd98

🧪 Week 4 Assignment:
👉 https://onlinecourses.nptel.ac.in/noc...

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