Dive into the core concepts of Python, including variables, data types, libraries, operators, strings, data structures like lists, dictionaries, and tuples to organize and manipulate information effectively, control flow statements (if/else, loops) and build dynamic applications.
Learn the core ideas in machine learning, and build your first models. Machine learning (ML) is a branch of AI and computer science that focuses on building computer systems that learn from data, enabling software to improve its performance over time. It does this by identifying key patterns and relationships within the data.
Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information.
Face detection is the initial step in many facial analysis applications. It involves identifying the presence of a human face within an image or video frame. Essentially, it's about determining if there is a face in a given visual input and, if so, pinpointing its location.
Face recognition takes face detection a step further by identifying or verifying a specific person based on their facial features. It's a more complex process that involves comparing a detected face to a database of known faces.
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