dida Machine Learning uses 9 technologies like Amazon Machine Learning, Azure Computer Vision, and Easy PDF. View dida Machine Learning's complete Tech Stack.
dida Machine Learning Business Intelligence And Analytics Technology
Amazon Machine Learning is a service that allows to develop predictive applications by using algorithms, mathematical models based on the user's data.
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN.
Tensorflow is an end-to-end open source machine learning platform. It allows developers to create large-scale neural networks with many layers.
dida Machine Learning Programming Languages And Frameworks Technology
Azure Computer Vision provides cloud-based computer vision APIs to developers with access to advanced algorithms for processing images and returning information
GraphQL is an open-source data query and manipulation language for APIs, and a runtime for fulfilling queries with existing data.
Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.
dida Machine Learning Productivity And Operations Technology
Easy PDF is a free online PDF conversion tool that can convert files from and to PDF.
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