Pragmatic AI: An Introduction to Cloud-Based Machine Learning · 1st Edition
![Pragmatic AI: An Introduction to Cloud-Based Machine Learning · 1st Edition](/cover/8sTEZa26iDI4Qk5w/big/Pragmatic%20AI:%20An%20Introduction%20to%20Cloud-Based%20Machine%20Learning%20%c2%b7%201st%20Edition.jpg)
- Authors
- Gift, Noah
- Publisher
- Addison-Wesley Professional
- Tags
- python , programming
- Date
- 2018-09-01T00:00:00+00:00
- Size
- 24.36 MB
- Lang
- en
**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._