Found 14 Articles for Data Analytics

Understanding the distinction between likelihood and probability is crucial when working with data. Probability and likelihood are both statistical concepts that are used to estimate the possibility of particular occurrences occurring. Nonetheless, they have various meanings and are utilized in different ways. Probability is the possibility of an event happening based on facts or assumptions that are currently known. The chance of detecting a collection of data given a certain hypothesis or set of parameters is referred to as likelihood, on the other hand. It is important to understand the difference between probability and likelihood because they are used in ... Read More

Parameters and hyperparameters are two concepts used often but with different connotations in the field of machine learning. For creating and improving machine learning models, it is crucial to comprehend the distinctions between these two ideas. In this blog article, we will describe parameters and hyperparameters, how they vary, and how they are utilized in machine learning models. What are the Parameters? Parameters in machine learning are the variables that the model learns while being trained. Based on the input data, the model's predictions are affected by these factors. To put it another way, parameters are the model coefficients that ... Read More

In order to predict future values using the data at hand, time series analysis frequently employs Autoregressive Integrated Moving Average (ARIMA) models. These models use the moving average and autoregressive coefficients to represent the link between past and future data. For the model to be trustworthy and accurate, it is crucial to comprehend the criteria for these coefficients. This blog article will look at the requirement for the ARIMA model coefficients and their importance. What are ARIMA Models? ARIMA models are statistical time series data analysis models. They have three components: autoregressive (AR), integrated (I), and moving average (MA). The ... Read More

Data analytics and digital marketing are the two major trends in the business world. Companies are shifting their gear from experience-based decision-making to understanding the consumers on the basis of the data that they have collected and are also now shifting their marketing communications from traditional channels to digital marketing channels. With digital marketing, it has become easy for companies to collect data regarding consumer behavior and their preferences, and with data, it has become easy for companies to present consumers with marketing communications that will hit the right nerve. With data analytics and technology, it is now possible for ... Read More