Prof. Pushpak Bhattacharyya | IIT Bombay
Welcome to the official channel of Professor Pushpak Bhattacharyya from the Department of Computer Science and Engineering at IIT Bombay. Dive into the fascinating world of Natural Language Processing (NLP) with us.
Lecture 18 | CS772 Deep Learning for NLP | Guest Lecture (Prof. Rohan Paul) | IIT Bombay | 2025
Lecture 16 | CS772 Deep Learning for NLP | Guest Lecture (Prof. Raksha Sharma) | IIT Bombay | 2025
Lecture 14 | CS772 Deep Learning for NLP | Lecture on Bias | IIT Bombay | 2025
Lecture 15 | CS772 Deep Learning for NLP | Guest Lecture (Prof. Pranay Sharma) | IIT Bombay | 2025
Lecture 13 | CS772 Deep Learning for NLP | Guest Lecture (Prof. Monojit Choudhury) | IITB | 2025
Lecture 12: CS772 | Deep Learning for NLP | Guest Lecture (Jimut Bahan Pal) | IIT Bombay | 2025
Lecture 11: CS772 | Deep Learning for NLP | Guest Lecture II (Dr. Anoop Kunchukuttan) | IITB | 2025
Lecture 10: CS772 | Deep Learning for NLP | Guest Lecture (Srikanth Tamilselvam) | IIT Bombay | 2025
Lecture 9: CS772 | Deep Learning for NLP | Guest Lecture(Dr. Anoop Kunchukuttan) | IIT Bombay | 2025
Lecture 8: CS772 | Deep Learning for NLP | Guest Lecture (Dr. Rudra Murthy) | IIT Bombay | 2025
Lecture 7: CS772 | Deep Learning for NLP | Word Embeddings | IIT Bombay | 2025
Lecture 6: CS772 | Deep Learning for NLP | Guest Lec. (Prof. Tanmoy Chakraborty) | IIT Bombay 2025
Lecture 5: CS772 | Deep Learning for NLP | Backpropagation | IIT Bombay | 2025
Lecture 4: CS772 | Deep Learning for NLP | Perceptron, Sigmoid, Softmax, POS | IIT Bombay 2025
Lecture 3: CS772 Deep Learning for NLP | Guest Lecture (Prof. Aditya Joshi) | IIT Bombay 2025
Lecture 2: CS772 Deep Learning for NLP | Guest Lecture (Prof. Mitesh Khapra) | IIT Bombay | 2025
Lecture 1: CS772 Deep Learning for NLP | Introduction | IIT Bombay | 2025
Lecture 31: CS217 | AI Gets Real: Powering Robots, Logistics & Finance | IITB 2025
Lecture 30: CS217 | The Vicious Cycles of AI: Biases in Recommendation Systems | IITB 2025
Lecture 29: CS217 | Human-Centered AI: Biases, Challenges, and Ethical Considerations | IITB 2025
Lecture 28: CS217 | Decision Trees, Entropy, and Information Gain | IITB 2025
Lecture 27: CS217 | Multiclass Logistic Regression | Intro to Decision Trees and Entropy | IITB 2025
Lecture 26: CS217 | Parameter Estimation with MLE and MAP | Intro to Logistic Regression | IITB 2025
Lecture 25: CS217 | Linear Regression & Least Squares Optimization | IITB 2025
Lecture 24: CS217 | Probability Computation: Forward-Backward & Expectation Maximization | IITB 2025
Lecture 23: CS217 | Mastering Sequence Labeling with HMMs & Viterbi Algorithm | AI-ML | IITB 2025
Lecture 22: CS217 | SVM Implementation & Introduction to Hidden Markov Models | AI-ML | IITB 2025
Lecture 21: CS217 | SVM: Primal-Dual Formulation, KKT Conditions & Kernel Trick | AI-ML | IITB 2025
Lecture 20: CS217 | SVM: Hard/Soft Margins, Slack Variables & Outlier Handling | AI-ML | IITB 2025
Lecture 19: CS217 | Prolog Programming & Intro to Support Vector Machines (SVM)| AI-ML | IITB 2025