Introduction to Machine Learning

By: Goshu, Belay

Within artificial intelligence, machine learning is a game-changing field that allows computers to recognize patterns and make judgments without explicit programming. It includes a variety of methods and algorithms that let systems operate better over time in response to data or experience. The fundamental idea is to provide robots the ability to learn from examples, adjust to changing conditions, and make increasingly accurate predictions or judgments. Machine learning has applications across a wide range of areas, from recommendation systems and natural language processing to picture recognition and predictive analytics, altering how we engage with technology and tackle challenging issues. This synopsis offers an overview of the wide and dynamic field of machine learning, where the marriage of data and algorithms stimulates creativity and propels the development of artificial intelligence.

• Format: Paperback
• Language: English
• ISBN: 6207462602
• ISBN13: 9786207462605
• Release Date: February 2024
• Publisher: LAP Lambert Academic Publishing
• Length: 204 Pages
• Weight: 0.67 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"