Definition:


ML Course is a subset of AI Course that focuses on developing algorithms and statistical models that enable machines to learn from data and improve their performance on a specific task without being explicitly programmed for that task.


Scope:

ML Course is a specific approach within AI that primarily deals with developing algorithms to identify patterns and make predictions or decisions based on data. It is a data-driven approach to achieve AI..


Approach:


ML Course is a data-driven approach that focuses on training models on large datasets to recognize patterns and make predictions or decisions. It involves feeding the algorithm with data and allowing it to learn from the data to improve its performance.



Human Intervention:


ML Course algorithms are designed to learn from data automatically. While humans play a role in designing and training the algorithms, the learning process itself is driven by the data, and the algorithm adjusts its parameters based on the input it receives.


Generalization:


ML Course models are typically designed for specific tasks or domains. However, some ML Course models, like deep learning models, can exhibit broader capabilities and handle multiple tasks within a related domain.