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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Understanding Hedonic Regression in Pricing Models

Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

How To Learn Python For Free: 10 Online Resources

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...
IEEE

FT-Mamba: A Novel Deep Learning Model for Efficient Tabular Regression

Abstract: Deep learning has advanced in image, audio, and text, but challenges such as heterogeneity and weak correlations remain in tabular data. This paper presents the FT-Mamba architecture, which ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
IEEE

Bearing RUL Prediction Using Composite Health Index-Based Gaussian Process Regression Model With a Dynamic Change Point

Abstract: Predicting the remaining useful life (RUL) of bearings is crucial for system reliability and preventing unexpected shutdowns. Aiming at two critical issues in RUL prediction, the first ...