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, ...

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 ...

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 ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

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 ...

Agenda: 7:00pm - 7:30pm: Network over Drinks 7:30pm - 9:00pm: "Hands-on Machine Learning workshop with Scikit" with Lukas Biewald, Founder and CEO of CrowdFlower Abstract: Machine learning is rapidly ...

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 ...

Python, a versatile and user-friendly programming language, has gained immense popularity for its simplicity and power. Its extensive libraries and frameworks have paved the way for innovative ...