Ai/Ml

Overview about actual AI and ML Services on Google Cloud (September 2023) Service Description Vertex AI A unified platform for building, training, deploying, and managing machine learning models. Vertex AI Notebooks A managed service for running Jupyter notebooks, providing a single interface for your data, analytics, and machine learning workflow. Vertex Explainable AI Tools and frameworks to help you understand and interpret your machine learning models. AI Platform Prediction A managed service for deploying and managing machine learning models, making it easy to serve predictions to your applications and users....

Overview about actual AI and ML Services on microsoft Azure (September 2023) Service Description Azure Machine Learning A cloud-based platform for building, training, deploying, and managing machine learning models. Azure Synapse Analytics An analytics platform that combines data warehousing, big data analytics, and machine learning. Azure Databricks A unified analytics platform that combines data science, engineering, and business intelligence. Azure Cognitive Services A set of AI services that enable developers to add cognitive capabilities to their applications....

Overview about actual AI and ML Services on Amazon AWS (September 2023) Service Description Amazon SageMaker A managed machine learning (ML) service that helps data scientists and developers build, train, deploy, and manage ML models. Amazon Rekognition An image and video analysis service that provides facial recognition, object detection, scene detection, and image classification capabilities. Amazon Comprehend A natural language processing (NLP) service that provides text analysis, sentiment analysis, entity extraction, and topic modeling capabilities....

Autoregressive integrated moving average (ARIMA) Autoregressive integrated moving average (ARIMA) is a statistical model that is used to forecast future values of a time series. It is a generalization of the autoregressive moving average (ARMA) model, which only considers the autocorrelations between the current value and the past values of the time series. ARIMA also considers the moving average of the residuals of the ARMA model, which helps to improve the accuracy of the forecasts....

Softmax Activation Function The softmax activation function is a non-linear function that is commonly used in the output layer of neural networks for multi-class classification problems. It takes a vector of real numbers as input and outputs a vector of probabilities, where the probabilities sum to 1. This means that the softmax function can be used to represent a probability distribution over the possible output classes. The softmax function is defined as follows:...