Search results for keyword: dataset
Minimum batch method
Introduction
Mini-batch gradient descent is an optimization algorithm which has gained popularity in recent years due to its ability to scale effectively and efficiently to large datasets. This method of training is based on a technique called “stochastic gradient descent”, which in turn is rela......
1026 
Madison
Thomson and Steckland method
Tomson and Strocklan Method
The Tomson and Strocklan Method is one of the most widely used approaches for assessing an individuals psychological development. It was developed by Henry Tomson and Laurence Strocklan in the nineteen seventies, and has been applied to a wide variety of age groups, fro......
factor analysis
In the sciences, Factor analysis is a statistical method that is used to identify the underlying structure of a set of variables. It is used to explain the correlations between the different variables and make predictions about the relationship between these variables and the factors they indicat......
IBM Corporation
International Business Machines Corp (IBM) is a global computer hardware and software company. Founded in 1911, IBM is a leader in the development of cutting-edge technology and immersive experiences. The company works with clients to create and modify products to meet specific customer needs. IBM......
decision management
Introduction
Decision-making has become an important part of economic and social life. Every business and organization needs to make decisions to achieve its goals and objectives. Decision-making is a process that involves planning, analyzing, and then making the final decision. Decision-making c......
ROS/RMS matrix
With any type of risk management system, understanding associated risks within a particular sector is vital for identifying potential threats and mitigating risk. The Risk Management System (RMS) and Risk Opportunity Signature (ROS) matrix are two important tools that organizations can use to meas......
Markov Time Series Forecasting Method
Introduction
Markov chain Monte Carlo (MCMC) is a probabilistic technique used for predicting future events. MCMC employs the Markov chain procedure to generate sequences of random numbers that reconfigure a pattern of the environment according to a probability distribution. It is most commonly u......
near term sales forecast
Recent prediction of sale
The ability to predict sale in advance has always been a challenge for companies. Knowing how much a company will sale can help them better plan their marketing processes and resources. Recent advances in machine learning and predictive analytics have made it possible t......
Bayesian inference
Bayesian inference is a statistical and mathematical approach to inference in which we use prior knowledge to predict the probability of a given outcome. It is an approach used in many areas, including decision theory and artificial intelligence.
The idea behind Bayesian inference is to use prior......
simple arithmetic mean
Arithmetic Mean
The arithmetic mean is one of the most commonly used and widely accepted methods of calculating an average. It is also known as the mean, the average, or the arithmetic average. The arithmetic mean is defined as the sum of a set of numbers divided by the number of items in the set......
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