Mourad Bouache

Machine Learning (ML): Algorithms: Decision trees, support vector machines, neural networks, etc. Applications: Computer vision, recommendation systems, natural language processing (NLP) Deep Learning (DL): Architectures: Convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers Tasks: Image classification, object detection, machine translation, text generation Generative AI: Types: GANs, diffusion models, transformers Outputs: Generating images, text, audio, code, etc. Responsible Use: Mitigating biases, potential for misuse