In many cases, machine learning algorithms can help marketing analysts find customer segments that would be very difficult to spot through intuition and manual examination of data. TNW Conference ...

Machine learning attitudinal segmentation is not limited to existing secondary data constructs like behavioral segmentation or a small universe of non-randomly-selected respondents like survey-based ...

This is part two of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first discussed business applications can benefit from supervised learning. This ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Customer segmentation plays a crucial role in business development by providing deep insights into customer behaviors and preferences, facilitating effective and personalized marketing strategies.

This study aims to use machine learning methods to optimize single tree segmentation in point cloud data, in order to improve the automated extraction and analysis of vegetation information. This ...

Keywords: machine learning, segmentation, X-ray microtomography, polycrystalline microstructure, Ostwald ripening, statistical image analysis. Citation: Furat O, Wang M, Neumann M, Petrich L, Weber M, ...

This article was published on January 20, 2021. Deep tech; How machine learning enhances customer segmentation January 20, 2021 - 10:00 am ...