Week 11 Principles of Economics Microeconomics Oct 18, 2021 Asymmetric information When either the buyer or seller have far more information about product than other party. Example - used cars. Sellers have far more information. This makes buyers skeptical....
Week 10 Principles of Economics Microeconomics Oct 18, 2021 Public goods Public good - non excludable, non rival good. Non-excludable - non paying consumers still benefit. Non-rival - One person using it, another person still can. Excludable Non-Excluable...
Week 1 Principles of Economics - Microeconomics Oct 18, 2021 Supply, Demand, and Equilibrium Demand curve Graphs quantity demanded at various price points. Quantity demanded decreases if price increases, as less consumers are willing to purchase the product. Supply curve...
Principles of Economics Microeconomics Oct 18, 2021 This blog will host weekly notes from the course. Week 1 Notes Week 2 Notes Week 3 Notes Week 4 Notes Week 5 Notes Week 6 Notes Week 7 Notes...
India May 28, 2021 After spending last two years in UK and Germany, I have moved back for good to India. Plan for now is to do some consulting, while trying out few ideas...
Science Of Exercise Jul 12, 2019 This blog will host weekly notes from the course. I will update this post to links with weekly notes. Week 1 Notes Week 2 Notes Week 3 Notes Week 4...
Machine Learning Jul 12, 2019 This blog will host weekly notes from the course. I will update this post to links with weekly notes. Week 1 Notes Week 2 Notes Week 3 Notes Week 4...
Modern World Jul 12, 2019 Course notes for Modern World - Global History From 1760 to 1910 This blog will host weekly notes from the course. I will update this post to links with weekly...
Week 11 Machine Learning Jul 10, 2019 Machine Learning Application - Photo OCR Pipeline Detect text Character segmentation Character classification (Optional) spelling correction. Sliding Window Scan an image step by step to check whether object can be...
Week 10 Machine Learning Jul 10, 2019 Large Scale Machine Learning Try out the learning algorithm which much smaller sample size, and see if it suffers from high variance problem when small size is small. Only then...