Machine Learning – Dimensionality Reduction – Feature Extraction & Selection

Machine Learning – Dimensionality Reduction – Feature Extraction & Selection

Hello! Welcome to Dimensionality Reduction using feature extraction and feature selection Dimensionality Reduction is the process of reducing the number of variables/features in review. Dimensionality Reduction can be divided into two subcategories called Feature Selection which includes Wrappers, Filters, and Embedded. And Feature Extraction which includes Principle Components Analysis. So how exactly does Dimensionality Reduction

Read More

TensorFlow: Open source machine learning

TensorFlow: Open source machine learning

♪♪♪ Deep learning is this branch of machine learning loosely inspired by how the brain works. We have had experience building software for deep learning over the last few years. Although it was initially a research project, we’ve since collaborated with about 50 different teams at Google and deployed these systems in real products across

Read More

Learning Scikit-Learn (AI Adventures)

Learning Scikit-Learn (AI Adventures)

YUFENG GUO: Scikit-learn has long been a popular library for getting started with machine learning. But if you haven’t had a chance to try it out yet, that’s all right. Let’s go check it out together. Welcome to Cloud AI Adventures, where we explore the art, science, and tools of machine learning. My name is

Read More