特征工程是机器学习流程中的关键步骤，在此过程中，原始数据被转换为更具意义的特征，以增强模型对数据关系的理解能力。 特征工程通常涉及对现有数据应用转换，以生成或修改数据，这些转换后的数据在机器学习和数据科学的语境下用于训练模型，从而 ...

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

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, ...