Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...

This repository provides a brief introduction and Python implementations of various regression techniques applied to noisy and nonlinear time series data. The main objective is to evaluate the ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

CU Boulder researchers apply machine learning to snow hydrology in Colorado mountain drainage basins, finding a new way to accurately predict the availability of water Determining how much water is ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...