April 2019
Beginner to intermediate
89 pages
1h 55m
English
Content preview from Data Science and Engineering at Enterprise Scale
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
Preface
What This Book Will Cover and How It Will Help You with Your Daily Work
While the notebook is generally the domain of the data scientist, this book is intended for anyone who will be interacting at varying levels with the code, from developers and engineers who will be working with codebases and deployments, to management teams who wish to understand some of the issues facing the team.
We will provide examples in open source Jupyter notebooks, along with installation instructions for desktop-scale studies.
We will also provide examples in IBM Watson Studio, which is a cloud-hosted notebook environment that is also scalable. This service is free for smaller-scale studies, and it has a rich collection of examples that can be run with no installation requirements. This environment also offers enterprise-grade collaboration tools for sharing code and data conveniently and securely.
The book will cover:
-
Notebooks
-
Notebooks and the Jupyter ecosystem
-
Language examples (Python, Scala)
-
IBM Watson Studio
-
-
Using machine learning frameworks in a notebook
-
Installation, architectures
-
Scalable machine learning (Apache Spark)
-
Deep learning frameworks
-
-
Analytics in the production environment
-
Implementation issues
-
Collaboration across the enterprise
-
All examples will be made available in the IBM Watson Studio as well as on GitHub with an associated Docker image.
Conventions Used in This Book
The following typographical conventions are used in this book:
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.