What can we say about Machine learning?

Machine learning is a subset of AI that involves teaching machines to recognize patterns and make predictions based on those patterns. The machine is given a large set of training data, and it uses algorithms to build a model that can make predictions. Over time, the machine gets better at making predictions as it learns from its mistakes and improves its model.

 It is a subfield of artificial intelligent,with the capability to imitate human behavior; using artificial intelligent application to instruct the machine about the behavior aimed at so that,the machine would continue to act and improve without direct humanware interference.

 We have four broadly types of machine learning which are,supervised,semi-supervised,unsupervise and re-inforcement. Research.

Machine learning is a subset of artificial intelligence that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed. It involves training machines on large datasets to recognize patterns and make accurate predictions or take actions based on new data. Machine learning has found applications in various fields, including image and speech recognition, natural language processing, recommendation systems, and predictive analytics. It has the potential to revolutionize industries, improve efficiency, and enable advancements in areas such as healthcare, finance, and autonomous systems.

AI-based machine learning includes algorithms that can learn from data and predict or make decisions without explicit programming. A data-driven decision is made based on patterns identified by computers, insights extracted from data, and data-driven decisions made based on large datasets. Through predictive analytics, image recognition, natural language processing, and recommendation systems, machine learning is revolutionizing the way businesses operate across diverse industries.

AI-based machine learning includes algorithms that can learn from data and predict or make decisions without explicit programming. A data-driven decision is made based on patterns identified by computers, insights extracted from data, and data-driven decisions made based on large datasets. Through predictive analytics, image recognition, natural language processing, and recommendation systems, machine learning is revolutionizing the way businesses operate across diverse industries. This is in order