October 2023
Intermediate to advanced
336 pages
9h 16m
German
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KAPITEL 8
Karriereberatung und der Weg in die Zukunft
Das letzte Kapitel dieses Buchs ist Überlegungen gewidmet, wie es weitergehen soll. Sie haben einen umfassenden Überblick bekommen über Themen der angewandten Mathematik: Analysis, Wahrscheinlichkeit, Statistik und lineare Algebra. Dann haben Sie diese Techniken auf praktische Anwendungen übertragen, unter anderem auf lineare Regression, logistische Regression und neuronale Netze. In diesem Kapitel geht es darum, wie Sie dieses Wissen nutzen können, während Sie sich durch die seltsame, aufregende und ungewöhnlich vielfältige Landschaft einer Data-Science-Karriere bewegen. Ich möchte betonen, wie wichtig es ist, ein greifbares Ziel zu haben, auf das man hinarbeiten kann, und nicht nur Werkzeuge ...
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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.