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Types of ML:

: Provides a deep dive into supervised, unsupervised, and semi-supervised learning, including topics like regression, classification, and neural networks. Part III: AI Applications : Focuses on practical implementations such as: Image Classification and Object Detection. Face Detection and Recognition. Natural Language Processing (NLP). Generative Adversarial Networks (GANs). Availability and Access Types of ML: : Provides a deep dive

, data analysis, and advanced AI computing (cloud and edge computing). Key Learning Resources and semi-supervised learning