Introduction to Ethics, Algorithms, AI and Machine Learning Overview: This introduction is designed to start off each of our modules, or a larger project that combines modules, by familiarizing ...

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

The book leverages algorithms of machine learning in a unique way of describing real life applications. Though not mandatory, some experience with subject knowledge will fasten the learning process.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Course Description ELEN 520: This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine ...

Let's discuss how machine learning has evolved the marketing industry and how companies leverage it for profits and growth.

Want to learn how to become a machine learning engineer? Use our guide to discover the career path and requirements for machine learning engineers.

Machine learning algorithms are often divided into supervised (the training data are tagged with the answers) and unsupervised (any labels that may exist are not shown to the training algorithm).

Quantum machine learning software could enable quantum computers to learn complex patterns in data more efficiently than classical computers are able to.