discovery-foundation · PyPI

Accelerated Machine Learning is a unique approach around machine learning that innovates the data science discovery vertical and productization of the data science delivery model. More specifically, it is an incubator project that shadowed a team of Ph.D. data scientists in connection with the development and delivery of machine learning initiatives to define measurable benefit propositions for customer success. To accomplish this, the project developed specific and unique knowledge regarding transition and preparation of data sets for algorithmic execution and augmented knowledge, which is at the core of the projects services offerings. From this the project developed a new approach to data science discovery and productization dubbed “Accelerated Machine Learning”.

The best way to install this package is directly from the Python Package Index repository using pip if you want to upgrade your current version then using pip

The Accelerated Machine Learning project is a change of approach in terms of improving productivity of the data scientists. This approach deconstructs the machine learning discovery vertical into a set of capabilities, ideas and knowledge. It presents a completely novel approach to the traditional process automation and model wrapping that is broadly offered as a solution to solve the considerable challenges that currently restrict the effectiveness of machine learning in the enterprise business. To achieve this, the project offers advanced and specialized programming methods that include * Separation of concerns * Parameterised Intent * Factory Pattern * Advanced OOD * Component Architecture

Source: Pypi.org

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Keywords:

Python Package Index • Machine learning • Machine learning • Data science • Data science • Scientific modelling • Doctor of Philosophy • Data science • Machine learning • Measure (mathematics) • Customer Success • Knowledge • Algorithm • Knowledge • Project management • Software development • Data science • Machine learning • Python Package Index • Pip (package manager) • Pip (package manager) • Machine learning • Productivity improving technologies • Deconstruction • Machine learning • Discovery (observation) • Idea • Knowledge • Conceptual model • Machine learning • Business • Business • Project management • Computer programming • Method (computer programming) • Separation of concerns • Factory (object-oriented programming) • Ood • Component-based software engineering •