Ada, The Enchantress of Numbers
Ada, The Enchantress of Numbers: A Selection from the Letters of Lord Byron's Daughter and Her Description of the First Computer
Betty A. Toole, Ed.D. (All Copies Signed by Author)
ISBN: 0-912-674-09-4 Strawberry Press 456pp, 80 illustrations, Hardcover
Ada, The Enchantress of Numbers is both a source book about the birth of the computer revolution and the fascinating human tale of Ada Byron, Lady Lovelace, and her friends from Charles Babbage to Faraday, Wheatstone, and Dickens. Reviews range from the Annals of the History of Computing, which called it "excellent and thoughtful" to Wired magazine, which stated that it was "beyond stereotypes" to Howard Rheingold, who regards Ada as "one of the most picturesque characters in the history of technology"
Michale Swaine stated in Dr Dobbs Journal, that Ada, the Enchantress of Numbers offers insight "into the mind of the first professional programmer…we see the realtionship of science and art analyzed by a first-rate intellect." ACM is pleased to offer this unusual and groundbreaking look into the birth of the computer revolution for only $25, with free shipping & handling, even for our international members.
Contact ACM to order this "excellent & thoughtful" book.
(The Annals of the History of Computing)
Phone: +1-800-342-6626 (US and Canada)
Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.
ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.