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 ...

As a result of Yellowbrick’s seamless integration with well-known machine learning libraries like Scikit-Learn, it is simple to analyze models as they are being developed. Despite being ...

and managing machine learning models. Some of the internal tools and frameworks used at Uber are built on top of popular open source projects such as Spark, HDFS, Scikit-learn, NumPy, Pandas ...

And some of the tools engineers use to train these models are similarly well-worn. One of the most commonly used machine learning libraries is scikit-learn, which was released a decade ago ...