Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Artificial Intelligence, Computer Science and IT, Machine Learning, Deep Learning, Python Programming, Back propagation, Supervised Learning, Scikit Learn, Unsupervised Learning, Numpy, Decision ...

Oliver Zeigermann looks at different ML strategies -KNN, Decision Trees, Support Vector Machines, and Neural Networks- and visualizes how they make predictions by plotting their decision boundaries.

Scikit-Learn is a powerful framework for traditional machine learning algorithms such as regression, classification, and clustering. It integrates well with Linux-based Python environments, making it ...

Data School Kevin Markham’s data science and machine learning tutorials using Python and well-known tools like Scikit-Learn and Pandas are the main focus of Data School.

Google AI Platform is one of the most comprehensive offerings in the public cloud to train, tune and deploy machine learning models.