Artificial intelligence (AI) and machine learning are bringing changes to the field of engineering and the responsibilities of engineers just like they have in other industries. Many of these ...

Machine learning algorithms learn from data to solve problems that are too complex to solve with ... To use categorical data for machine classification, ... Feature engineering for machine learning.

This repository contains a Credit Score Classification project that uses machine learning algorithms to predict creditworthiness based on historical data. The project includes data preprocessing, ...

Smarter AI: Machine learning without negative data Date: November 26, 2018 Source: RIKEN Summary: A research team has successfully developed a new method for machine learning that allows an AI to ...

Training a computer vision machine learning model entails three process steps (see figure 1). Fig. 1: Computer vision machine learning training steps. Source A. Meixner/Semiconductor Engineering. The ...

The data has been split into two groups: training set (train.csv) test set (test.csv) The training set should be used to build your machine learning models. For the training set, we provide the ...

Small Data Machine Learning: Classification and Prediction of Poly(ethylene terephthalate) Stabilizers Using Molecular Descriptors. Aaron L. Liu. Aaron L. Liu. School of Chemical & Biomolecular ...

Northwestern’s Master of Science in Machine Learning and Data Science (MLDS) program provides data scientists with a technical background in machine learning and artificial intelligence, complemented ...

Machine learning and big data are also breaking grounds in targeted advertising. Pixar, for example, targets its audience with different movie advertisements which are based on learned preferences.