研究人员开发了开源Python框架Scikit-NeuroMSI，解决了多感官整合(MSI)领域缺乏统一计算工具的问题。该框架整合了贝叶斯因果推断(Kording et al., 2007)和神经网络模型(Cuppini et al., 2017)，首次实现跨层次分析时空因果推断，为精神疾病(如ASD、SCZ)的感官标记物研究提供新 ...

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...

This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science ...

Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters). Logistic regression is a machine ...

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...

Python is a leading development platform for data scientists working on machine learning projects. The tutorial presentation below offers an introduction to the scikit-learn package and to the central ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries reduces coding erro ...