Learn · Artificial Intelligence for Economics
Lecture 10 of 40Week 2:
Lecture 10 : Clustering and Segmentation
Prof. Adway Mitra, Prof. Dripto Bakshi and Prof. Palash Dey · IIT Kharagpur
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- Artificial Intelligence for Economics, IIT Kharagpur (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures
- Lecture 01 : Network Data - Some Stories !!
- Lecture 02 :The Stable Matching Algorithm
- Lecture 03 : Uncertainty in Financial Markets : Idea of Hedging
- Lecture 04 : Uncertainty in Financial Markets : Idea of Hedging (Contd.)
- Lecture 05 : Uncertainty in Financial Markets : Idea of Hedging (Contd.)
- Lecture 06 : Unconstrained Optimization
- Lecture 07 : Constrained Optimization
- Lecture 08 : Heuristic Search Techniques
- Lecture 09 : Multi-objective Heuristic Search and Game Trees
- Lecture 10 : Clustering and Segmentation
- Lecture 11 : Decision Tree and Random Forest
- Lecture 12 : Linear Regression and Classifiers
- Lecture 13 : Uncertainty Modeling
- Lecture 14 : Neural Networks
- Lecture 15 : Deep Learning for Time Series Forecasting
- Lecture 16 : Causality in Time-Series
- Lecture 17 : Interventional Causality and Attribution
- Lecture 18 : Game Theory
- Lecture 19 : Game Theory (Contd.)
- Lecture 20 : Game Theory (Contd.) Games with Incomplete Information
- Lecture 21 : Game Theory (Contd.) Games with Incomplete Information (Contd.)
- Lecture 22 : Game Theory - Sequential Games
- Lecture 23 : Game Theory – Rubenstein Bargaining
- Lecture 24 : Network Economics
- Lecture 25 : Network Economics (Contd.)
- Lecture 26 : Introduction to Auction Theory
- Lecture 27 : Second Price Auction
- Lecture 28 : First Price Auction
- Lecture 29 : Overview of Mechanism Design
- Lecture 30 : Groves Mechanism
- Lecture 31 : VCG Mechanism
- Lecture 32 : Single Parameter Domain and Myerson Lemma
- Lecture 33 : Sponsored Search Auction
- Lecture 34 : Single Peaked Domain and Median Voting
- Lecture 35 : Dimensionality Reduction (Principal Component Analysis) – The Math Prerequisites
- Lecture 36 : Dimensionality Reduction (Principal Component Analysis) – The Technique
- Lecture 37 : Agent-based Modeling for Economics
- Lecture 38 : Computer Vision for Economics
- Lecture 39 : Text Mining and NLP for Economics
- Lecture 40 : Bias, Fairness, Ethics and Interpretability in AI