note

Don't Stop at 'Visualization' with MMM: Building a Decision-Making Automation Foundation for Budget Optimization with Bayesian Inference and SciPy

"We have introduced MMM (Marketing Mix Modeling) and visualized the contribution of each advertising channel." If you, as a data scientist or AI engineer, are satisfied with reporting this to the ...
C&EN

Machine Learning-Driven Optimization of Continuous-Flow Photoredox Amine Synthesis

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...
IEEE

Optimisation Techniques in Investment Risk Management :Scipy, SLSQP and Modern Portfolio Theory

Abstract: Organizations achieve successful investment risk management by achieving optimal risk exposures and return objectives at the same time. The research examines optimization methodologies ...
Scientific Research Publishing

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020) Scipy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature ...

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
IEEE

Study on the Design Optimization of Cast-Resin Transformer Using Permutation with Repetition and Python's Scipy Method

Abstract: This study was conducted on how to optimize the basic design of a cast resin transformer using the scipy method of Python and the permutation with repetition method. All possible design ...
GitHub

Python-based Advanced Numerical Nonlinear Optimization for Radiotherapy

Dataset import and preprocessing Automatic feature map generation 27-type feature catalogue for iterative (re)calculation to support model integration into optimization 7 customizable internal model ...