Datavision uses 9 technologies like Amazon EC2, Keras, and Linux. View Datavision's complete Tech Stack.
Datavision Platform And Storage Technology
Amazon Elastic Compute Cloud is a web service that provides resizable compute capacity in the cloud.
Linux is a family of open source Unix-like operating systems based on the Linux kernel.
Ubuntu is a Debian-based Linux operating system and distribution for PCs, smartphones and network servers.
Datavision Business Intelligence And Analytics Technology
Keras is an API designed for human beings, not machines. it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It is a central part of the tighly-connected TensorFlow 2.0 ecosystem.
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.
Datavision Programming Languages And Frameworks Technology
MongoDB is the next-generation NoSQL database that helps businesses transform their industries by harnessing the power of data.
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.
Top Datavision Employees
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Jlidi Borhen
Chief Technology Officer and Co-Founder at Datavision
Tunis, Tūnis, Tunisia23 -
Cesare Makanjila
Pharmacist at Datavision
Dar es Salaam, Dar es Salam, TZ
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