Machine Learning - CSN 382

Lecture Notes
  • Lecture 01: Introduction to ML (10/1/17)
  • Lecture 02: Learning Techniques in ML and applications of regression (11/1/17)
  • Lecture 03
  • Lecture 04
  • Lecture 05
  • Lecture 06 and 07: Axioms of Probability, Conditional Probability, Random Variables- Probability Distribution and Density Functions, Joint Distribution and Density functions, Conditional Distributions, Bayes' rule, Expectation, Supervised Learning with example (Class notes)
  • Lecture 08, Weak law of Large numbers, Special Random Variables - Bernoulli's Distribution, Binomial Distribution, Multinomial Distribution, Uniform Distribution and Normal Distribution (class notes)
  • Multiclass problem in Video Analytics, Lecture 09 
  • Lecture 10: Problems on Bayesian Decision Theory and regression 
  • Lecture 11
  • Lecture 12,13 and 14: Dimensionality reduction, PCA, Demos and Problems (demo1, demo2)
  • Lectures 15, 16 and 17: LDA for binary Class and SVD, related Problems (slides)
  • Lectures 18, 19 and 20: Perceptrons, multilayer perceptrons, back propagation algorithm, training procedures and network tuning. (slide 1, slide 2 and slide 3)
  • Lectures 21, 22 and 23: More on ANN and introduction to Deep Learning
  • Lecture 24: Lecture by Jay Bosamiya on  Script Independent Scene Text Segmentation using Fast Stroke Width Transform and GrabCut (slides)
  • Lecture 25:  SVM (Reading Assignment, page nos. 338-341 in Bishop)
  • Lecture 26: (13/4/2017) 
        • Mini Project Presentation by Group 1: Face Recognition (LBP and Local Histogram) by Mohit Fafat, Gurwinder Singh, Hanumant Mittal and Shivam Yadav
        • Mini Project Presentation by Group 2: Music Genre Classification (MFCC and SVM) by Anshul Shah, Saleel Ali, Prashant Kumar and Pratyush Rajput
  • Lectures 27, 28, 29, 30 and 31 (15/4/2017, 2 to 7 pm)
        • Mini Project Presentation by Group 3: Mouse control using hand gesture (Haar Cascade Classifier) by Tarun Kumar, Tejal, Ashutosh, Deepanshu
        • Mini Project Presentation by Group 4: Opinion Mining and Sentiment Analysis (NLTK) by Akashdeep, Akshit, Sanat and Rahul
        • Mini Project Presentation by Group 5: Sentence Similarity using Siamese LSTM Architecture (RNN) by Sanatan Sharma, Shishir Jindal, Vikash Kumar, Shyoji Meena
        • Mini Project Presentation by Group 6: Movie Recommendation System by Tirth Patel, Abhishek, Sahil Garg, Sumit Kumar Singh
        • Mini Project Presentation by Group 7: Neural Art (CNN) by Harkirat singh, Shrishendu, Purjist Goyal and Shagun Arora
        • Mini Project Presentation by Group 8: Reinforcement Learning (Pacman) (Approximate Q-Learning) by Suraj, Shiva, Anusha and Nikhil
        • Mini Project Presentation by Group 9: News Recognition (Random Forest classifier) by Amandeep, Saroj, Divesh, Souvik Gayen
        • Mini Project Presentation by Group 10: Playing Atari breakout with Reinforcement Learning (Deep-Q learning) by Naveen Reddy, Venkata Mahanandi and Prashant Kumar
        • Mini Project Presentation by Group 11: OCR (ANN, CNN and SVM) by Shubham Verma, Ashish Prajapati, Aman Kumar Singh and Vedanshu
        • Mini Project Presentation by Group 12: Opinion mining and Sentiment Analysis (Word2Vec and Glove, LSTM) by Aashaka Shah, Anushrut, Asutosh Palai and Meet Vora
        • Mini Project Presentation by Group 13: Handwriting Synthesis (RNN) by Amarnath, Sudeep Kandregula and Rahul Pamaar
  • Lectures 32, 33 and 34 (16/4/2017, 2 to 5 pm)
        • Mini Project Presentation by Group 14: Text detection and recognition in Natural Images (SVM, MLP and CNN) by Soumya, sharan and Vaibhav
        • Mini Project Presentation by Group 15: Sentiment Analysis on text corpus (NLTK, Naive Bayes) by Paras, Shubham, Tarun and Yogesh
        • Mini Project Presentation by Group 16: Opinion mining (Knowledge based) by Anil, Ayush and Chetan
        • Mini Project Presentation by Group 17: Music Genre Classification (KLD, K-Means, KNN and SVM) by Ambar Zaidi, Saurabh and Tanmay
        • Mini Project Presentation by Group 18: Movie Success Prediction by Amit, Utkarsh, Vivek and Gaurav

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