Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

The job title Quant is ubiquitously used. That makes it a dynamic, exciting and dynamic discipline, but one which also can ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Abstract: At present, Symmetric Positive Definite (SPD) matrix data is the most common non-Euclidean data in machine learning. Because SPD data don’t form a linear space, most machine learning ...

PyLops is an open-source Python library focused on providing a backend-agnostic, idiomatic, matrix-free library of linear operators and related computations. It is inspired by the iconic MATLAB Spot – ...

The presented amplifier was fabricated using a 1-μm 200-V CMOS process. The measurement results show that this integrated linear power amplifier is capable of driving a load of a 100-Ω resistor in ...

This book collects standard and advanced methods in quantum mechanics and implements them using SymbolicC++ and Maxima, two popular computer algebra packages. Throughout, the sample programs and their ...