January 2024
Intermediate to advanced
408 pages
13h 21m
English
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Chapter 17: Synthetizing multiplicative functions in number theory
New perspective on the Riemann Hypothesis
Abstract
Machine learning relies on mathematics to solve real-life problems. But what if you switched the roles and relied on machine learning to solve or at least explore pure mathematical problems? This is the subject of experimental mathematics. Over the years, I made considerable progress tackling famous conjectures using this approach. In addition, I leveraged mathematical objects such as functions or numbers, to build infinite synthetic data sets with an infinite number of features, to test and benchmark new machine learning techniques, and to produce new types of animated data videos. Here I share the culmination of this research, ...
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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.