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The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier transform ...
Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).
Bilinear sequence regression model shows why AI excels at learning from word sequences - Tech Xplore
These insights could help scientists build models that are simpler, more efficient, and possibly more transparent. More information: Vittorio Erba et al, Bilinear Sequence Regression: A Model for ...
machine-learning random-forest structural-biology protein-data-bank protein-structure gcp molecular-dynamics computational-biology biochemistry pymol drug-discovery logistic-regression uniprot ...
Global agriculture is facing major challenges such as food security, sustainable water management, and the preservation of natural resources. Water scarcity, exacerbated by climate change, requires ...
Data Science & Machine Learning Personal Projects This repository contains a collection of Jupyter Notebooks showcasing implementations and explorations of fundamental topics in data science, machine ...
More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...
Pandey, N., Patnaik, P.K. and Gupta, S. (2020) Data Pre Processing for Machine Learning Models Using Python Libraries. International Journal of Engineering and ...
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