Tensorflow Solutions for Text

This volume introduces working with text, with a focus on the most plentiful source of text out there: email. Working with email text from your own Gmail account, you will build up a label predictor, similar in effect to the technology Google uses to power the Social and Promotions tabs. With this technique, you will be able to build your own email classification and automated workflow hooks.

About The Author

Will Ballard serves as Chief Technology Officer at GLG and is responsible for the Engineering and IT organizations.

Prior to joining GLG, Will was the Executive Vice President of Technology and Engineering at Demand Media. Before that, he was Vice President and Chief Technology Officer at Pluck, through its acquisition by Demand Media. At both organizations Will managed large teams of engineers responsible for software architecture, design, development, and quality assurance. He was also responsible for the design and operation of large data centers that helped run site services for customers including Gannett, Hearst Magazines, NFL.com, NPR, The Washington Post, and Whole Foods. Will has also held leadership roles in software development at NetSolve (now Cisco), NetSpend, and Works.com (now Bank of America).

Will graduated Magna Cum Laude with a BS in Mathematics from Claremont McKenna College.