What is machine learning and ml algorithms? what are llm? what are the frameworks of machine learning and deep learning.? And questions from your project.

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Machine learning is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed.

Machine learning is the process of training a model on data to make predictions or take actions.
ML algorithms are mathematical models that enable machines to learn patterns and make decisions.
Some popular ML algorithms include linear regression, decision trees, and neural networks.
Frameworks like TensorFlow, PyTorch, and scikit-learn provide tools and libraries for implementing ML and deep learning models.
Deep learning is a subset of ML that uses neural networks with multiple layers to learn complex patterns.
Some popular deep learning frameworks include Keras, TensorFlow, and Caffe.
If you have worked on ML projects, be prepared to answer questions about your project's goals, data preprocessing, model selection, and evaluation.

What is machine learning and ml algorithms? what are llm? what are the frameworks of machine learning and deep learning.? And questions from your project.

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