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Object detection, face detection, handwriting recognition, and other similar tasks are all examples of applications that computer vision can perform

Generative AI can be used to generate human-like text, including creative writing, storytelling, and even chatbots. It can be used to augment existing datasets by generating new samples to train machine learning models effectively.

Azure, Microsoft’s cloud platform, offers an extensive suite of cloud services such as computing, storage, databases, AI, analytics, and IoT, enabling versatile application development and scalable solutions for businesses.

AWS features and tools support various aspects of DevOps and MLOps, including version control, continuous integration, continuous delivery, infrastructure automation, monitoring, and machine learning workflow management.

Data preprocessing is a fundamental step in the data analysis and machine learning pipeline. It involves the transformation and preparation of raw data into a format suitable for analysis and modelling.

Feature extraction helps to reduce the amount of redundant data from the data set. In the end, the reduction of the data helps to build the model with less machine effort and also increases the speed of learning