Dear Wisam Mohammed Abed Alqaraghuli ,

Machine learning is a subset of artificial intelligence that automatically enables a machine or system to learn and improve from experience. Instead of explicit programming, machine learning uses algorithms to analyze large amounts of data, learn from the insights, and then make informed decisions.

https://cloud.google.com/learn/artificial-intelligence-vs-machine-learning#:~:text=Machine%20learning%20is%20a%20subset,and%20then%20make%20informed%20decisions.

Regards,

Shafagat

Dear Wisam Mohammed Abed Alqaraghuli

Machine learning is a type of artificial intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. It is a subset of AI that focuses on building algorithms that can learn from data and improve performance over time. In machine learning, computers use statistical techniques to identify patterns in data and create models that can be used to make predictions or decisions on new data. The process involves training a model on a dataset, evaluating its performance, and refining it until it achieves satisfactory accuracy. There are three main types of machine learning: supervised, unsupervised, and reinforcement. In supervised learning, the computer is provided with labeled data and is trained to make predictions on new, unseen data. In unsupervised learning, the computer is given unlabeled data and is expected to identify patterns and relationships independently. In reinforcement learning, the computer learns by receiving feedback in the form of rewards or penalties for its actions in an environment. Machine learning has numerous applications in various fields, including finance, healthcare, marketing, and more. It is used for tasks such as fraud detection, image recognition, natural language processing, and recommendation systems.

The following is my research for your reference.

Article Systematic Discussion of Artificial Intelligence’s Personali...

Hope this can help your research.

Machine learning is a subset of artificial intelligence that automatically enables a machine or system to learn and improve from experience. Instead of explicit programming, machine learning uses algorithms to analyze large amounts of data, learn from the insights, and then make informed decisions

Machine learning is a subset of artificial intelligence that uses algorithms and statistical models to enable computers to learn from data and improve their performance on a task over time. It is a technique for building intelligent systems that can automatically learn from data and improve their performance over time. Machine learning is an essential component of artificial intelligence, as it allows computers to make intelligent decisions based on data and improve their performance without human intervention.