Machine learning has returned with a vengeance. I still remember the dark days of the late '80s and '90s, when it was pretty clear that the current generation of machine-learning algorithms didn't ...

MicroAlgo Inc.'s Bitcoin trading prediction algorithm based on machine learning and technical indicators will become an important milestone in the field of financial technology, leading the way ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. ... After the first split, the decision tree algorithm examines each of the ...

Machine Learning Algorithms and Police Decision-Making Panther Media GmbH / Alamy Stock Photo This project aimed to critically assess the use of machine learning algorithms for policing, and provide ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Don't take results from machine learning algorithms at face value. Ask what information isn't available. What subgroups haven't been prioritized? Who is on the research team?

For decision tree classification, the variable to predict is most often ordinal-encoded (0, 1, 2 and so on) The numeric predictors do not need to be normalized to all the same range -- typically 0.0 ...

Machine learning, a field of artificial intelligence (AI), ... The model uses parameters built in the algorithm to form patterns for its decision-making process.