Based on the spatial structure correlation in different geophysical parameters, we propose a new 3-D joint inversion method for frequency-domain airborne electromagnetic (AEM) and airborne magnetic ...

Neural networks have become increasingly effective at many difficult machine learning tasks. However, the nonlinear and large-scale nature of neural networks makes them hard to analyze, and, therefore ...

Back in the 1990s, computer engineer and Wall Street “quant” were the hot occupations in business. Today data scientists are the hires firms are competing to make. As companies wrestle with ...

Seamless operability between C++11 and Python. Contribute to pybind/pybind11 development by creating an account on GitHub.

Statistical data visualization in Python. Contribute to mwaskom/seaborn development by creating an account on GitHub.

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments ...