Building at the intersection of machine learning and software engineering

Bringing machine learning models into production is challenging. This is why, as demand for machine learning capabilities in products and services increases, new kinds of teams and new ways of working are emerging to bridge the gap between data science and software engineering. Effective Machine Learning Teams - written by Thoughtworkers David Tan, Ada Leung and Dave Colls - was written to help practitioners get to grips with these challenges and master everything needed to deliver exceptional machine learning-backed products.
In this episode of the Technology Podcast, the authors join Scott Shaw and Ken Mugrage to discuss their book and how it addresses the current issues in this space, from the technical challenges of testing and deployment to the cultural work of building teams that span different disciplines and areas of expertise.
Learn more about Effective Machine Learning Teams: www.thoughtworks.com/insights...
Read a Q&A with the authors: www.thoughtworks.com/insights...
Read the transcript for this episode:
www.thoughtworks.com/insights...