A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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, ...
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 ...
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 ...
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 uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their sex, age, state where they live and political leaning.
Deep Learning with Yacine on MSN
How to use permutation testing for model validation in Scikit-Learn
Learn how to use permutation testing to validate your machine learning models using Sklearn. This video breaks down the process to help improve model reliability and performance.
Deep Learning with Yacine on MSN
Detecting consciousness with machine learning and EEG signals in Scikit-Learn
Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results