October 2023
Intermediate to advanced
528 pages
13h 23m
English
Content preview from Practical Julia
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13SCIENTIFIC MACHINE LEARNING
The bewilderments of the eyes are of two kinds, and arise from two causes, either from coming out of the light or from going into the light.
—Socrates
The topic of this chapter is a rather new approach to solving scientific problems through computation. Much of the recent development in the field of scientific machine learning (SciML) has taken place within the Julia ecosystem and has been led by researchers using Julia in science. Relatively little has been published explaining how to apply the new techniques in a form digestible by those not conversant with machine learning jargon. I hope to fill at least part ...
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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.