This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

Machine learning studies the question "how can we build computer programs that automatically improve their performance through experience?" This includes learning to perform many types of tasks based ...

This course covers the core concepts, theory, algorithms and applications of machine learning. We cover supervised learning topics such as classification (Naive Bayes, Logistic regression, Support ...

Unleash your inner bartender with this clever "Cocktail Codex" book, and your inner dairy gremlin with this DIY cheese-making ...

The class also provides the knowledge needed to apply the techniques to new problems. It is a broad course and an introduction to Machine Learning, Datamining, and Statistical Pattern Recognition.

Explore forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms ... Getting Started with Time Series Analysis, is a general introduction to ...

There are already tools that perform such tasks, but learning these skills means you can take a customized approach tailored to your needs—and, of course, to do it for free. Experimenting for ...

In this introduction to the oil and gas industry ... We explore oil and gas industry developments and facilitate the continued learning of oil and gas professionals. Our online oil and gas content we ...

(Optimized for desktop use.) This course provides an introduction to covering, as developed by Kenji Yoshino. It discusses his theory of the four core types of covering demands and the practical steps ...