Real world dataset consists of normal instances with lesser percentage of interesting or abnormal instances. The cost of misclassifying an abnormal instance as normal instance is very high. The ...

The dataset contains various categorical and numerical features with 11162 data sample. The data is labelled. So supervised machine learning algorithms are applicable to this project. The objective is ...

Datasets in AI and machine learning contain many flaws. Some might be fixable, according to experts -- given enough time and resources.

Unlike the MINIST data set, the DIGIT data set is however too small to be representative of real world machine learning image classification tasks. After demonstrating the basics of logisitic ...

Cibaca continues to explore image classification and deep learning from a research-first perspective. Her ongoing work ...

Machine learning is about prediction on unseen data or testing data and a set of algorithms are required to perform task on machine learning. There are three types of machine learning are called as ...

Classification is a complicated process that looks incredibly simple on the surface. Find out why classification matters in machine learning.