Terminologies in Machine Learning
Terminologies in Machine Learning
Key terminologies to know in machine learning
Machine Learning Terminology
1. Classification
Classification is a part of supervised learning (learning with labeled data) through which data inputs can be easily separated into categories. In machine learning, there can be binary classifiers with only two outcomes (e.g., spam, non-spam) or multi-class classifiers (e.g., types of books, animal species, etc.).
One of the most popular...
Blogs
Descripcion
Insights into AI/ML technologies, their applications in different sectors, tutorials, and the future of AI in Nigeria.
Read More
EVERYTHING YOU NEED TO KNOW ABOUT MACHINE LEARNING
EVERYTHING YOU NEED TO KNOW ABOUT MACHINE LEARNING
We constantly encounter machine learning, a...
7 Myths About Coding
7 Myths About Coding.
There are a million and one myths about coding and coders that make people...
Key Major Differences Between AWS and Azure
Key Major Differences Between AWS and Azure
AWS and Azure are among the leading cloud computing...
How To Relocate To Canada Easily With Tech Skills.
How To Relocate To Canada Easily With Tech Skills.
Whether you wish to move to Canada on a...
Key Differences Between Product and Project Management.
Key Differences Between Product and Project Management.
The product manager and the project...
© 2025 Abuja Tech Community
Spanish
