Exponential smoothing vs Moving average for time series forecasting
Time series analysis and forecasting are important concepts in data science that have a variety of applications. There are different techniques used to make forecasting with time-series data. The exponential smoothing and moving average are the two basic and
2024-05-19
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Developing React Applications in RStudio Workbench | R-bloggers
RStudio Workbench provides a development environment for R, Python, and many other languages. When developing a performant web application you may progress from Shiny towards tools like Plumber. This allows you to continue development of the true application
2024-05-17
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10 Steps to Creating a Data-Driven Culture
For many companies, a strong, data-driven culture remains elusive, and data are rarely the universal basis for decision making. Why is it so hard? Our work in a range of industries indicates that the biggest obstacles to creating data-based businesses
2024-05-16
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Explained: How to tell if artificial intelligence is working the way we want it to
About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game players to outperforming doctors at diagnosing breast cancer. These powerful deep-learning models are usually based on
2024-05-11
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The Case for Machine Learning in Quality Management
Quality management is a crucial part of running a business. If companies hope to maximize sales and build a loyal customer... Quality management is a crucial part of running a business. If companies hope to maximize sales and build a loyal customer base,
2024-05-10
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4 ways for joining the real-time enterprise revolution | 7wData
These days, there's a constant stream of chatter about the importance of being a "real-time enterprise," with the ability to sense and respond to any event or request in an instantaneous manner. Of course, there's a technical definition of real-time, but to
2024-05-10
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Artificial intelligence has reached a threshold. And physics can help it break new ground
For years, physicists have been making major advances and breakthroughs in the field using their minds as their primary tools. But what if artificial intelligence could help with these discoveries? Last month, researchers at Duke University demonstrated that
2024-05-08
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Exploring the Security Vulnerabilities of Neural Networks
Neural networks have remarkable disruptive potential, but this makes their vulnerabilities more concerning. As helpful as these machine learning models can... Neural networks have remarkable disruptive potential, but this makes their vulnerabilities more
2024-05-08
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Qualitative humanities research is crucial to AI · fast.ai
“All research is qualitative; some is also quantitative” Harvard Social Scientist and Statistician Gary King Suppose you wanted to find out whether a machine learning system being adopted - to recruit candidates, lend money, or predict future criminality
2024-05-07
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