1. IBM Watson: IBM Watson is a powerful AI platform that utilizes natural language processing and machine learning to analyze and interpret vast amounts of data. It can be used for various applications such as chatbots, predictive analytics, and image recognition. With its cognitive computing capabilities, IBM Watson is revolutionizing industries like healthcare, finance, and customer service.
2. TensorFlow: TensorFlow is an open-source machine learning library developed by Google that allows developers to build and train neural networks for deep learning tasks. It provides a flexible framework for creating complex models and running them on different devices such as CPUs, GPUs, or TPUs. From image classification to natural language processing, TensorFlow is widely used in research and production environments.
3. Amazon SageMaker: Amazon SageMaker is a fully managed service that simplifies the process of building, training, and deploying machine learning model
2. TensorFlow: TensorFlow is an open-source machine learning library developed by Google that allows developers to build and train neural networks for deep learning tasks. It provides a flexible framework for creating complex models and running them on different devices such as CPUs, GPUs, or TPUs. From image classification to natural language processing, TensorFlow is widely used in research and production environments.
3. Amazon SageMaker: Amazon SageMaker is a fully managed service that simplifies the process of building, training, and deploying machine learning model