November 2022
Intermediate to advanced
304 pages
7h 4m
English
Content preview from Prediction Machines, Updated and Expanded
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Acknowledgments
We express our thanks to the people who contributed to this book with their time, ideas, and patience. In particular, we thank Abe Heifets of Atomwise, Liran Belanzon of BenchSci, Alex Shevchenko of Grammarly, Marc Ossip, and Ben Edelman for the time they spent with us in interviews, as well as Kevin Bryan for his comments on the overall manuscript. Also, we thank our colleagues for discussions and feedback, including Nick Adams, Umair Akeel, Susan Athey, Naresh Bangia, Nick Beim, Dennis Bennie, James Bergstra, Dror Berman, Vincent Bérubé, Jim Bessen, Scott Bonham, Erik Brynjolfsson, Andy Burgess, Elizabeth Caley, Peter Carrescia, Iain Cockburn, Christian Catalini, James Cham, Nicolas Chapados, Tyson Clark, Paul Cubbon, Zavain ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.