The Machine Learning Solutions Architect Handbook

Chapter 5: Open Source Machine Learning Libraries

There are multiple technologies available for building machine learning (ML) and data science solutions, in both open source and commercial product spaces. To maintain greater flexibility and customization of their machine learning platforms, some organizations have chosen to invest in in-house data science and engineering teams to build data science platforms using open source technology stacks. Some organizations, however, have adopted commercial products to focus their effort on solving business and data challenges. Some organizations have chosen hybrid architecture to leverage both open source and commercial products for their machine learning platform. As an machine learning solution architecture ...