A flowchart to guide you through the process of a Supervised Machine Learning problem. The flowchart outlines general processes, provides small explanations next to some of the steps, and shows what ...

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 algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Supervised Machine Learning for Cell Classification in Microwave Flow Cytometers ... Candida albicans, Candida tropicalis, Candida parapsilosis, and Candida krusei, were measured with microwave flow ...

The goal of the investigation is to develop and test a system capable of providing short-term (less than an hour) traffic flow predictions in an urban environment. We present a data acquisition and ...

Unsupervised learning eliminates the need for human input in creation of the AI engine. It uses unlabeled data and derives the underlying semantics and patterns which are then used to make decisions.

Citation: Narayan S, Konka S, Chandra A, Abdelrahman K, Andráš P and Eldosouky AM (2023) Accuracy assessment of various supervised machine learning algorithms in litho-facies classification from ...