History of Data Science

Peter Naur first termed Data Science in the year 1974. But, the journey had begun in ancient times. Here’s a chronicle about the history of data science, tracing its path from the formative collection methods to the most advanced forms …

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History of AI in Finance

Artificial Intelligence is an indispensable part of the finance world due to its ability to understand complex mathematical relationships and its automation ability. With data and compute power growing exponentially, financial service providers turn to AI for cost-effective solutions. A …

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How to Interpret ARIMA Results

To analyze ARIMA results, you need to determine if the model meets the assumptions using Jlung-Box chi-square statistics and autocorrelation of residuals; understand if each term is significant using p-values, and recognize if your model fits well using mean-squared error. …

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How to Make a Time Series Stationary in Python

You can make a time series stationary using adjustments and transformations. Adjustments such as removing inflation simplify the historical data making the series more consistent. Transforms like logarithms can stabilize the variance, while differencing transforms stabilize the mean from trend …

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What Is Stationarity? A Visual Guide

Stationarity means that a process’s statistical properties that create a time series are constant over time. This statistical consistency makes distributions predictable enabling forecasting, and is an assumption of many time series forecasting models. What Is Stationarity? In mathematics and …

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