Dynamic Stochastic General Equilibrium Models. The theory and mathematics of DSGE models, and why DSGE models should be used for business
Economics is typically defined as the social science which studies the behaviour of people in terms of the choices made by individuals and societies in the face of scarcity. Scarcity here refers to the situation of having finite and limited resources, while also having limitless wants by agents within society. Because of this gap, all societies are tasked with answering three fundamental questions: What to produce? How to produce it? And for whom should this be produced?
These problems can be broken down and studied under two major categories: microeconomics and macroeconomics. Microeconomics focuses on disaggregated sectors within the economy. More specifically, it studies the decision making of firms, individual consumers, and households. Macroeconomics, on the other hand, focuses on aggregated sectors within the economy. This branch of economics is concerned with policy recommendations and evaluates aspects such as the general price level, employment, and economic output.
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
“How’d you get started with machine learning and data science?”: I trained my first model in 2017 on my friend's lounge room floor.
This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.