<img data-attachment-id="1261" data-permalink="https://softwareengineeringdaily.com/2015/11/17/machine-learning-and-technical-debt-with-d-sculley/d-sculley/" data-orig-file="https://i2.wp.com/softwareengineeringdaily.com/wp-content/uploads/2015/11/d-sculley.jpg?fit=175%2C175&ssl=1" data-orig-size="175,175" data-comments-opened="0" data-image-meta="{"aperture":"0","credit":"Picasa 3.0","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"1"}" data-image-title="d-sculley" data-image-description="" data-medium-file="https://i2.wp.com/softwareengineeringdaily.com/wp-content/uploads/2015/11/d-sculley.jpg?fit=175%2C175&ssl=1" data-large-file="https://i2.wp.com/softwareengineeringdaily.com/wp-content/uploads/2015/11/d-sculley.jpg?fit=175%2C175&ssl=1" class="alignright size-full wp-image-1261" style="border-radius: 50%; border: 1px solid #000000;" src="https://i1.wp.com/softwaredaily.wpengine.com/wp-content/uploads/2015/11/d-sculley.jpg?resize=175%2C175" alt="d-sculley" width="175" height="175" srcset="https://i2.wp.com/softwareengineeringdaily.com/wp-content/uploads/2015/11/d-sculley.jpg?w=175&ssl=1 175w, https://i2.wp.com/softwareengineeringdaily.com/wp-content/uploads/2015/11/d-sculley.jpg?resize=150%2C150&ssl=1 150w, https://i2.wp.com/softwareengineeringdaily.com/wp-content/uploads/2015/11/d-sculley.jpg?resize=80%2C80&ssl=1 80w" sizes="(max-width: 175px) 100vw, 175px" data-recalc-dims="1" />Originally published November 17, 2015Technical debt, referring to the compounding cost of changes to software architecture, can be especially challenging in machine learning systems.D. Sculley is a software engineer at Google, focusing on machine learning, data mining, and information retrieval. He recently co-authored the paper <a href="http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf">Machine Learning: The High Interest Credit Card of Technical Debt</a>.

Originally published November 17, 2015 Technical debt, referring to the compounding cost of changes to software architecture, can be especially challenging in machine learning systems. D. Sculley is a software engineer at Google, focusing on machine learning, data mining, and information retrieval. He recently co-authored the paper Machine Learning: The High Interest Credit Card of Technical Debt.

Originally published November 17, 2015Technical debt, referring to the compounding cost of changes to software architecture, can be especially challenging in machine learning systems.D. Sculley is a software engineer at Google, focusing on machine learning, data mining, and information retrieval. He recently co-authored the paper <a href="http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf" rel="noopener noreferrer">Machine Learning: The High Interest Credit Card of Technical Debt</a>.

Share Machine Learning and Technical Debt with D. Sculley Holiday Repeat

Sign up to save your podcasts

Machine Learning and Technical Debt with D. Sculley Holiday Repeat

Machine Learning and Technical Debt with D. Sculley Holiday Repeat