Learn to use open source software like Python, Pandas, Numpy, Scikit-learn and Bokeh to build predictive models from a real-world data. The course is lead by Francesco Mosconi. Ph.D. in Physics 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 ...

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 ...

A comprehensive Python library for machine learning and predictive data analysis. With limited support for deep learning, Scikit-learn offers a large number of algorithms and easy integration with ...

Machine learning (ML) is touted as the most critical skill of current times. Artificial intelligence (AI), an application of ML, is becoming pervasive. From autonomous vehicles to self-tuned databases ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of machine ...