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Master k-means clustering in Python like a pro

K-means clustering is one of the most approachable unsupervised learning techniques for finding patterns in unlabeled data. With Python’s scikit-learn and pandas, you can prepare, model, and evaluate ...
Morning Overview on MSN

Hackers poisoned the PyTorch Lightning AI package and it started stealing credentials the moment you imported it

A single line of Python code was all it took. Developers who ran import lightning after installing versions 2.6.2 or 2.6.3 of ...
eLife

Metabolic basis of the astrocyte-synapse interaction governs dopaminergic-motor connection

Here, we report that glycolysis controls astrocyte-synapse contact. In the Drosophila larval dopaminergic (DAergic) circuit, blocking astrocyte glycolysis stimulated perisynaptic ensheathment by ...
Tech Xplore

Stress-testing method for cloud computing algorithms helps avoid network failures

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...
eLife

Use-dependent regulation of the axonal action potential in parvalbumin-expressing interneurons

Medical Scientist Training Program, The University of Pennsylvania Perelman School of Medicine, Philadelphia, United States ...
Investopedia

Quantitative Investment Strategies: Models, Algorithms, and Techniques

Michael Schmidt, CFA, is a staff member of FINRA's Dispute Resolution Board with 20+ years of experience in the financial market. Doretha Clemons, Ph.D., MBA, PMP, has been a corporate IT executive ...