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Error Backpropagation Algorithm
Backpropagation Algorithm
Backpropagation is one of the most popular and effective algorithms used to train artificial neural networks today. This algorithm is inspired by the biological neuron networks in the human brain and it helps in increasing the accuracy of the model by adjusting the weigh......
06/07/2023 
1029 
Avery
Chenery-Taylor classification
The Quinlan-Taylor Classification
The Quinlan-Taylor Classification is an innovative approach to data mining. Comparing and analysing data while mining has been a problem area since the earliest days of data mining. Before attempt to extract useful information out of large data sets, they must be......
regular form game
Regular expressions, or regex, are powerful tools that allow a computer to perform actions and make decisions - often in a much more efficient way than manually searching through large bodies of data. Regular expressions have a wide variety of applications, from data cleanup operations to parsing ......
indexation
Technology is Changing the Education System
The education system is experiencing a dramatic shift due to the rise of technology. Technology has taken over the traditional, physical mediums of learning, such as textbooks and paper notes, and brought with it a new age of digital learning. Education......
rank sum test
Introduction
A rank test is used to test for the presence of significant differences across the ranks of one or more variables. It can be used to test for differences between samples drawn from different population distributions, or to detect patterns of ranking within the same population distrib......
Econometrics
Introduction
Econometrics is the branch of economics which deals with the application of statistical and mathematical techniques and methods to the analysis and solution of economic problems. It has become an increasingly important and powerful tool for economists, thanks to its ability to provid......
economics of the poor
Poverty Economics
Poverty economics is an important field of economic study that focuses on understanding the causes and solutions to poverty. Its theoretical foundation draws heavily from both conventional economics and other social sciences. It nevertheless contains a unique set of models and m......
KL information method
The Kullback-Leibler (KL) divergence is one of the most widely used measures of information content in the field of machine learning. The KL divergence is a measure of the amount of information lost in going from a true distribution, to an estimation of that distribution. In other words, it is a m......
ARIMA model
Autoregressive Integrated Moving Average Model
Autoregressive Integrated Moving Average (ARIMA) is a widely used and powerful modeling technique for time series data analysis. ARIMA models are used to explain the structure of sequential data based on past observations. Commonly employed in situat......
happiness economics
Happiness Economics
What is happiness economics? It is the study of how economic and other factors affect the wellbeing of individuals, businesses and societies. It is the intersection between economics and psychology in the study of human behaviour and wellbeing.
The main focus of happiness eco......
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