Model Predictive Control Basics | Towards Data Science
Quick In this article we will: 1. Introduction Model predictive control (MPC) is a popular feedback control methodology where a ...
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Estimating from No Data: Deriving a Continuous Score from Categories
has collected data on the outcomes of patients who have acquired “Pathogen A” responsible for an infectious respiratory illness. Available ...
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Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing
In Part 3.1 we started discussing how decomposes the time series data into trend, seasonality, and residual components, and as ...
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Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)
objects around us can be slightly radioactive. Americium in smoke detectors, radium in some vintage watches, or uranium in vintage ...
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Mastering NLP with spaCy – Part 2
in a sentence provide a lot of information, such as what they mean in the real world, how they connect ...
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How to Benchmark LLMs – ARC AGI 3
the last few weeks, we have seen the release of powerful LLMs such as Qwen 3 MoE, Kimi K2, and ...
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Programmers Aren’t So Humble Anymore—Maybe Because Nobody Codes in Perl
Perl was once everywhere. Or at least it felt that way. Around the turn of the millennium, it seemed that ...
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NumPy API on a GPU?
Is future of Python numerical computation? Late last year, NVIDIA made a significant announcement regarding the future of Python-based numerical ...
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How To Significantly Enhance LLMs by Leveraging Context Engineering
is the science of providing LLMs with the correct context to maximize performance. When you work with LLMs, you typically ...
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Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)
part, I did an exploratory data analysis of the gamma spectroscopy data. We were able to see that using a ...
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