October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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AI strategy
AI strategy is about gaining knowledge from the client that empowers you to determine the following:
- The client's grand vision for an intelligence-based competitive advantage
- How to translate that vision into an effective production-scale data science pipeline:
- Take into account the current and near-term digital maturity of the client
- Processes of data ingestion, analysis, and transformation
- Technology and engineering resources and constraints
- The analytics team's current capabilities
- Model selection, customization, training, evaluation, validation, and serving
- Achievement of KPIs and ROI that meets the objectives of the client's leadership
AI strategy consulting uncovers goals and expectations, while aligning outcomes with ...
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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.