Quant AI uses 4 technologies like GraphQL, Linux, and Python. View Quant AI's complete Tech Stack.
Quant AI Programming Languages And Frameworks Technology
GraphQL is an open-source data query and manipulation language for APIs, and a runtime for fulfilling queries with existing 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.
Quant AI Platform And Storage Technology
Linux is a family of open source Unix-like operating systems based on the Linux kernel.
Quant AI Business Intelligence And Analytics Technology
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.
Top Quant AI Employees
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Spyridon Liapis
Director at Quant AI
London, GB1 -
Bhavana S
Implementation Engineer at Quant AI
Bengaluru, KA, IN -
Phil Holmes
Client Development at Quant AI
London, GB -
Krishna Mishra
Administration Assistant at Quant AI
Bengaluru, KA, IN
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