Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...
Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
Abstract: In this paper, we exploit the advantages of tensorial representations and propose several tensor learning models for regression. The model is based on the canonical/parallel-factor ...
Abstract: Integrating data from multiple parties to achieve cross-institutional machine learning is an important trend in Industry 4.0 era. However, the privacy risks from sharing data pose a ...
PyCaret 4.0 is a ground-up architectural revamp. The 3.x line is frozen on PyPI as pycaret 3.4.0 — no further commits. Track progress in docs/revamp/STATUS.md and ...