A Conceptual introduction of Machine Learning Algorithms | IEEE Conference Publication | IEEE Xplore

A Conceptual introduction of Machine Learning Algorithms

Publisher: IEEE

Abstract:

The study of statistical models and algorithms that computers use to complete a particular task without external guidance or being explicitly programmed is known as machi...View more

Abstract:

The study of statistical models and algorithms that computers use to complete a particular task without external guidance or being explicitly programmed is known as machine learning. Lots of applications that we are using on regularly use ML algorithms. When we use search engine like Google to search the internet, it uses a machine learning algorithm.Teaching computers to maximize a performance criterion based on prior knowledge or sample data is known as machine learning. We have a model with certain parameters stated, and learning is the process of utilizing training data or prior knowledge to run a computer programme to improve the parameters. The model might be pictorial to learn from the data, foretelling to make forecasting, or both.ML algorithms have figured out the way to rank websites. These are used for various type of things, including data collection, data preprocessing, visualization, prediction of data and take decision.The main aid of using machine learning algorithm is that formerly it learns how to handle data, it can finish work independently. This analysis provides a rapid review and viewpoint on the vast applications of machine learning techniques.
Date of Conference: 03-04 February 2023
Date Added to IEEE Xplore: 12 June 2023
ISBN Information:
Publisher: IEEE
Conference Location: Roorkee, India

Introduction:

For as long as we can remember, people have relied on a variety of instruments to help them complete certain jobs. Inventions made possible by the power of the human mind are plenty. These inventions make human’s life easier and better by facilitating them to conclude diverse demands, such as: transportation, manufacturing, and computing, to name just a few. The category also includes machine learning.

References

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