Ml

**Machine Learning (ML)*is a subfield of artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed. ML algorithms are trained on data, and then they can be used to make predictions or decisions. ML is used in a wide variety of applications, including:

**Natural language processing (NLP)**: ML algorithms are used to understand and generate human language. This is used in applications such as chatbots, spam filtering, and machine translation.
**Computer vision (CV)**: ML algorithms are used to identify and classify objects in images and videos. This is used in applications such as self-driving cars, facial recognition, and medical imaging.
**Speech recognition (SR)**: ML algorithms are used to recognize spoken words. This is used in applications such as voice control, dictation, and customer service.
**Recommender systems (RS)**: ML algorithms are used to recommend products or items to users. This is used in applications such as online shopping, streaming media, and social media.

ML is a rapidly growing field, and it is expected to have a major impact on a wide variety of industries. As ML algorithms become more powerful and efficient, they will be used to solve more and more problems.