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 ...

Machine learning is a branch of artificial intelligence that deals with predictive modeling and analysis based on historical data. In simple terms, it uses complex mathematical algorithms to ...

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

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 ...

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.

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 ...

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

The HHL algorithm for inverting systems of equations is a fundamental and easy-to-understand subroutine, underpinning many quantum machine learning algorithms. The algorithm seeks to solve A x = b ...