Pragmatic AI: An Introduction to Cloud-Based Machine Learning · 1st Edition

Pragmatic AI: An Introduction to Cloud-Based Machine Learning · 1st Edition
Authors
Gift, Noah
Publisher
Addison-Wesley Professional
Tags
python , programming
Date
2018-09-01T00:00:00+00:00
Size
24.36 MB
Lang
en
Downloaded: 513 times

**Master Powerful Off-the-Shelf Business Solutions for AI and Machine

Learning**

_**Pragmatic AI** _ will help you solve real-world problems with contemporary

machine learning, artificial intelligence, and cloud computing tools. Noah

Gift demystifies all the concepts and tools you need to get results--even if

you don't have a strong background in math or data science. Gift illuminates

powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and

demonstrates proven techniques using the Python data science ecosystem. His

workflows and examples help you streamline and simplify every step, from

deployment to production, and build exceptionally scalable solutions. As you

learn how machine language (ML) solutions work, you'll gain a more intuitive

understanding of what you can achieve with them and how to maximize their

value. Building on these fundamentals, you'll walk step-by-step through

building cloud-based AI/ML applications to address realistic issues in sports

marketing, project management, product pricing, real estate, and beyond.

Whether you're a business professional, decision-maker, student, or

programmer, Gift's expert guidance and wide-ranging case studies will prepare

you to solve data science problems in virtually any environment.

Get and configure all the tools you'll need Quickly review all the Python you

need to start building machine learning applications Master the AI and ML

toolchain and project lifecycle Work with Python data science tools such as

IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic

feedback loop that continually improves the efficiency of your workflows and

systems Develop cloud AI solutions with Google Cloud Platform, including TPU,

Colaboratory, and Datalab services Define Amazon Web Services cloud AI

workflows, including spot instances, code pipelines, boto, and more Work with

Microsoft Azure AI APIs Walk through building six real-world AI applications,

from start to finish _Register your book for convenient access to downloads,

updates, and/or corrections as they become available. See inside book for

details._